Running ‘testthat.R’ [143s/151s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
  > library(AER)
  Loading required package: car
  Loading required package: carData
  Loading required package: lmtest
  Loading required package: zoo
  
  Attaching package: 'zoo'
  
  The following objects are masked from 'package:base':
  
      as.Date, as.Date.numeric
  
  Loading required package: sandwich
  Loading required package: survival
  > library(dplyr)
  
  Attaching package: 'dplyr'
  
  The following object is masked from 'package:car':
  
      recode
  
  The following objects are masked from 'package:stats':
  
      filter, lag
  
  The following objects are masked from 'package:base':
  
      intersect, setdiff, setequal, union
  
  > library(geepack)
  > library(survey)
  Loading required package: grid
  Loading required package: Matrix
  
  Attaching package: 'survey'
  
  The following object is masked from 'package:graphics':
  
      dotchart
  
  > library(testthat)
  
  Attaching package: 'testthat'
  
  The following object is masked from 'package:dplyr':
  
      matches
  
  > library(zeligverse)
  + Zelig       5.1.6        Date: 2019-03-29
  + ZeligChoice 0.9.6           R: 3.6.0
  + ZeligEI     0.1.2          OS: Debian GNU/Linux buster/sid
  + Amelia      1.7.5         GUI: X11
  + MatchIt     3.0.2      Locale: C
  + WhatIf      1.5.9          TZ: Europe/Vienna
  > 
  > set.seed(123)
  > test_check("Zelig")
  -- Imputation 1 --
  
    1  2  3
  
  -- Imputation 2 --
  
    1  2  3
  
  -- Imputation 3 --
  
    1  2  3
  
  -- Imputation 4 --
  
    1  2  3
  
  -- Imputation 5 --
  
    1  2  3
  
  How to cite this model in Zelig:
    R Core Team. 2007.
    ls: Least Squares Regression for Continuous Dependent Variables
    in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
    "Zelig: Everyone's Statistical Software," http://zeligproject.org/
  -- Imputation 1 --
  
    1  2
  
  -- Imputation 2 --
  
    1  2  3
  
  -- Imputation 3 --
  
    1  2
  
  -- Imputation 4 --
  
    1  2  3
  
  -- Imputation 5 --
  
    1  2
  
  How to cite this model in Zelig:
    R Core Team. 2007.
    ls: Least Squares Regression for Continuous Dependent Variables
    in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
    "Zelig: Everyone's Statistical Software," http://zeligproject.org/
  How to cite this model in Zelig:
    R Core Team. 2007.
    ls: Least Squares Regression for Continuous Dependent Variables
    in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
    "Zelig: Everyone's Statistical Software," http://zeligproject.org/
  How to cite this model in Zelig:
    James Honaker. 2019.
    arima: Autoregressive Moving-Average Models for Time-Series Data
    in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
    "Zelig: Everyone's Statistical Software," http://zeligproject.org/
  How to cite this model in Zelig:
    James Honaker. 2019.
    arima: Autoregressive Moving-Average Models for Time-Series Data
    in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
    "Zelig: Everyone's Statistical Software," http://zeligproject.org/
  
   sim x :
   -----
  ev
           mean       sd      50%     2.5%    97.5%
  [1,] 71.84089 125.7108 45.07644 14.44789 300.5451
  pv
           mean       sd      50%     2.5%    97.5%
  [1,] 71.82691 125.7453 44.93173 14.39416 301.4845
  fd
           mean       sd      50%      2.5%    97.5%
  [1,] 46.72488 333.1546 7.806861 -2.343672 192.7132
  How to cite this model in Zelig:
    James Honaker. 2019.
    arima: Autoregressive Moving-Average Models for Time-Series Data
    in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
    "Zelig: Everyone's Statistical Software," http://zeligproject.org/
  How to cite this model in Zelig:
    James Honaker. 2019.
    arima: Autoregressive Moving-Average Models for Time-Series Data
    in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
    "Zelig: Everyone's Statistical Software," http://zeligproject.org/
  How to cite this model in Zelig:
    Ben Goodrich, and Ying Lu. 2013.
    normal-bayes: Bayesian Normal Linear Regression
    in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
    "Zelig: Everyone's Statistical Software," http://zeligproject.org/
  How to cite this model in Zelig:
    Andrew D. Martin, Kevin M. Quinn, and Jong Hee Park. 2013.
    factor-bayes: Bayesian Factor Analysis
    in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
    "Zelig: Everyone's Statistical Software," http://zeligproject.org/
  How to cite this model in Zelig:
    Terry M. Therneau, and Thomas Lumley. 2011.
    exp: Exponential Regression for Duration Dependent Variables
    in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
    "Zelig: Everyone's Statistical Software," http://zeligproject.org/
  How to cite this model in Zelig:
    R Core Team. 2007.
    gamma: Gamma Regression for Continuous, Positive Dependent Variables
    in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
    "Zelig: Everyone's Statistical Software," http://zeligproject.org/
  How to cite this model in Zelig:
    R Core Team. 2007.
    ls: Least Squares Regression for Continuous Dependent Variables
    in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
    "Zelig: Everyone's Statistical Software," http://zeligproject.org/
  How to cite this model in Zelig:
    R Core Team. 2007.
    ls: Least Squares Regression for Continuous Dependent Variables
    in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
    "Zelig: Everyone's Statistical Software," http://zeligproject.org/
  How to cite this model in Zelig:
    R Core Team. 2007.
    ls: Least Squares Regression for Continuous Dependent Variables
    in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
    "Zelig: Everyone's Statistical Software," http://zeligproject.org/
  How to cite this model in Zelig:
    R Core Team. 2007.
    ls: Least Squares Regression for Continuous Dependent Variables
    in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
    "Zelig: Everyone's Statistical Software," http://zeligproject.org/
  How to cite this model in Zelig:
    R Core Team. 2007.
    ls: Least Squares Regression for Continuous Dependent Variables
    in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
    "Zelig: Everyone's Statistical Software," http://zeligproject.org/
  How to cite this model in Zelig:
    R Core Team. 2007.
    ls: Least Squares Regression for Continuous Dependent Variables
    in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
    "Zelig: Everyone's Statistical Software," http://zeligproject.org/
  Calculating MLEs and large sample var-cov matrix.
  This may take a moment...
  Inverting Hessian to get large sample var-cov matrix.
  How to cite this model in Zelig:
    Ben Goodrich, and Ying Lu. 2013.
    mlogit-bayes: Bayesian Multinomial Logistic Regression for Dependent Variables with Unordered Categorical Values
    in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
    "Zelig: Everyone's Statistical Software," http://zeligproject.org/
  Calculating MLEs and large sample var-cov matrix.
  This may take a moment...
  Inverting Hessian to get large sample var-cov matrix.
  How to cite this model in Zelig:
    Ben Goodrich, and Ying Lu. 2013.
    mlogit-bayes: Bayesian Multinomial Logistic Regression for Dependent Variables with Unordered Categorical Values
    in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
    "Zelig: Everyone's Statistical Software," http://zeligproject.org/
  How to cite this model in Zelig:
    Christian Kleiber and Achim Zeileis. 2008.
    ivreg: Instrumental-Variable Regression
    in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
    "Zelig: Everyone's Statistical Software," http://zeligproject.org/
  How to cite this model in Zelig:
    Christian Kleiber and Achim Zeileis. 2008.
    ivreg: Instrumental-Variable Regression
    in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
    "Zelig: Everyone's Statistical Software," http://zeligproject.org/
  Model: 
  
  Call:
  stats::glm(formula = vote ~ age + race, family = binomial("logit"), 
      data = as.data.frame(.))
  
  Deviance Residuals: 
      Min       1Q   Median       3Q      Max  
  -1.9268  -1.2962   0.7072   0.7766   1.0723  
  
  Coefficients:
              Estimate (OR) Std. Error (OR) z value Pr(>|z|)    
  (Intercept)      1.039111        0.183840   0.217 0.828325    
  age              1.011327        0.003088   3.689 0.000225 ***
  racewhite        1.907038        0.256462   4.800 1.58e-06 ***
  ---
  Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
  
  (Dispersion parameter for binomial family taken to be 1)
  
      Null deviance: 2266.7  on 1999  degrees of freedom
  Residual deviance: 2228.8  on 1997  degrees of freedom
  AIC: 2234.8
  
  Number of Fisher Scoring iterations: 4
  
  
  
  MCMClogit iteration 1 of 11000 
  beta = 
    -0.02114
     1.01877
  Metropolis acceptance rate for beta = 1.00000
  
  
  
  MCMClogit iteration 1101 of 11000 
  beta = 
    -0.04155
     0.97060
  Metropolis acceptance rate for beta = 0.52952
  
  
  
  MCMClogit iteration 2201 of 11000 
  beta = 
    -0.01848
     0.98567
  Metropolis acceptance rate for beta = 0.52158
  
  
  
  MCMClogit iteration 3301 of 11000 
  beta = 
    -0.04073
     1.02330
  Metropolis acceptance rate for beta = 0.52802
  
  
  
  MCMClogit iteration 4401 of 11000 
  beta = 
    -0.06123
     1.02388
  Metropolis acceptance rate for beta = 0.52602
  
  
  
  MCMClogit iteration 5501 of 11000 
  beta = 
    -0.07113
     0.95301
  Metropolis acceptance rate for beta = 0.52209
  
  
  
  MCMClogit iteration 6601 of 11000 
  beta = 
     0.06351
     1.03826
  Metropolis acceptance rate for beta = 0.52174
  
  
  
  MCMClogit iteration 7701 of 11000 
  beta = 
     0.04799
     1.04443
  Metropolis acceptance rate for beta = 0.52578
  
  
  
  MCMClogit iteration 8801 of 11000 
  beta = 
    -0.02747
     0.91158
  Metropolis acceptance rate for beta = 0.52460
  
  
  
  MCMClogit iteration 9901 of 11000 
  beta = 
    -0.03804
     0.90259
  Metropolis acceptance rate for beta = 0.52227
  
  
  
  @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@
  The Metropolis acceptance rate for beta was 0.52218
  @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@
  How to cite this model in Zelig:
    R Core Team. 2007.
    ls: Least Squares Regression for Continuous Dependent Variables
    in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
    "Zelig: Everyone's Statistical Software," http://zeligproject.org/
  How to cite this model in Zelig:
    R Core Team. 2007.
    ls: Least Squares Regression for Continuous Dependent Variables
    in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
    "Zelig: Everyone's Statistical Software," http://zeligproject.org/
  How to cite this model in Zelig:
    R Core Team. 2007.
    ls: Least Squares Regression for Continuous Dependent Variables
    in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
    "Zelig: Everyone's Statistical Software," http://zeligproject.org/
  How to cite this model in Zelig:
    R Core Team. 2007.
    ls: Least Squares Regression for Continuous Dependent Variables
    in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
    "Zelig: Everyone's Statistical Software," http://zeligproject.org/
  How to cite this model in Zelig:
    R Core Team. 2007.
    ls: Least Squares Regression for Continuous Dependent Variables
    in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
    "Zelig: Everyone's Statistical Software," http://zeligproject.org/
  How to cite this model in Zelig:
    R Core Team. 2007.
    ls: Least Squares Regression for Continuous Dependent Variables
    in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
    "Zelig: Everyone's Statistical Software," http://zeligproject.org/
  How to cite this model in Zelig:
    R Core Team. 2007.
    ls: Least Squares Regression for Continuous Dependent Variables
    in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
    "Zelig: Everyone's Statistical Software," http://zeligproject.org/
  How to cite this model in Zelig:
    R Core Team. 2007.
    ls: Least Squares Regression for Continuous Dependent Variables
    in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
    "Zelig: Everyone's Statistical Software," http://zeligproject.org/
  How to cite this model in Zelig:
    R Core Team. 2007.
    ls: Least Squares Regression for Continuous Dependent Variables
    in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
    "Zelig: Everyone's Statistical Software," http://zeligproject.org/
  How to cite this model in Zelig:
    Patrick Lam. 2011.
    normal-gee: General Estimating Equation for Normal Regression
    in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
    "Zelig: Everyone's Statistical Software," http://zeligproject.org/
  How to cite this model in Zelig:
    Patrick Lam. 2011.
    normal-gee: General Estimating Equation for Normal Regression
    in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
    "Zelig: Everyone's Statistical Software," http://zeligproject.org/
  Model: Combined Imputations 
  
              Estimate Std.Error z value Pr(>|z|)
  (Intercept) 34.66099   2.83523   12.23   <2e-16
  cyl         -1.58728   0.49875   -3.18   0.0015
  disp        -0.02058   0.00696   -2.96   0.0031
  
  For results from individual imputed datasets, use summary(x, subset = i:j)
  Next step: Use 'setx' method
  
  
  MCMCregress iteration 1 of 11000 
  beta = 
     0.01119
     1.03455
  sigma2 =    1.00941
  
  
  MCMCregress iteration 1101 of 11000 
  beta = 
    -0.02594
     1.06744
  sigma2 =    1.03889
  
  
  MCMCregress iteration 2201 of 11000 
  beta = 
    -0.05222
     0.97402
  sigma2 =    1.01563
  
  
  MCMCregress iteration 3301 of 11000 
  beta = 
    -0.05933
     0.97920
  sigma2 =    1.00108
  
  
  MCMCregress iteration 4401 of 11000 
  beta = 
    -0.01337
     1.01322
  sigma2 =    0.95198
  
  
  MCMCregress iteration 5501 of 11000 
  beta = 
    -0.02224
     1.04994
  sigma2 =    0.99842
  
  
  MCMCregress iteration 6601 of 11000 
  beta = 
    -0.02043
     1.00096
  sigma2 =    0.93645
  
  
  MCMCregress iteration 7701 of 11000 
  beta = 
     0.01190
     1.06590
  sigma2 =    1.01251
  
  
  MCMCregress iteration 8801 of 11000 
  beta = 
    -0.01996
     1.01412
  sigma2 =    0.95430
  
  
  MCMCregress iteration 9901 of 11000 
  beta = 
    -0.03583
     0.97622
  sigma2 =    0.99748
  How to cite this model in Zelig:
    R Core Team. 2007.
    poisson: Poisson Regression for Event Count Dependent Variables
    in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
    "Zelig: Everyone's Statistical Software," http://zeligproject.org/
  How to cite this model in Zelig:
    R Core Team. 2007.
    poisson: Poisson Regression for Event Count Dependent Variables
    in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
    "Zelig: Everyone's Statistical Software," http://zeligproject.org/
  
  
  MCMCpoisson iteration 1 of 11000 
  beta = 
    -0.01862
     1.02535
  Metropolis acceptance rate for beta = 1.00000
  
  
  
  MCMCpoisson iteration 1101 of 11000 
  beta = 
    -0.00207
     1.01122
  Metropolis acceptance rate for beta = 0.53224
  
  
  
  MCMCpoisson iteration 2201 of 11000 
  beta = 
    -0.02369
     1.02072
  Metropolis acceptance rate for beta = 0.51613
  
  
  
  MCMCpoisson iteration 3301 of 11000 
  beta = 
    -0.01912
     1.02585
  Metropolis acceptance rate for beta = 0.51712
  
  
  
  MCMCpoisson iteration 4401 of 11000 
  beta = 
    -0.05394
     1.03940
  Metropolis acceptance rate for beta = 0.51602
  
  
  
  MCMCpoisson iteration 5501 of 11000 
  beta = 
    -0.04054
     1.02780
  Metropolis acceptance rate for beta = 0.51736
  
  
  
  MCMCpoisson iteration 6601 of 11000 
  beta = 
     0.08526
     0.96386
  Metropolis acceptance rate for beta = 0.51750
  
  
  
  MCMCpoisson iteration 7701 of 11000 
  beta = 
     0.03033
     0.99266
  Metropolis acceptance rate for beta = 0.52305
  
  
  
  MCMCpoisson iteration 8801 of 11000 
  beta = 
    -0.00782
     1.01038
  Metropolis acceptance rate for beta = 0.52324
  
  
  
  MCMCpoisson iteration 9901 of 11000 
  beta = 
    -0.00920
     1.01052
  Metropolis acceptance rate for beta = 0.52096
  
  
  
  @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@
  The Metropolis acceptance rate for beta was 0.51927
  @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@
  How to cite this model in Zelig:
    R Core Team. 2007.
    probit: Probit Regression for Dichotomous Dependent Variables
    in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
    "Zelig: Everyone's Statistical Software," http://zeligproject.org/
  
  
  MCMCprobit iteration 1 of 11000 
  beta = 
    -0.01062
     0.93045
  
  
  MCMCprobit iteration 1101 of 11000 
  beta = 
     0.00854
     0.98889
  
  
  MCMCprobit iteration 2201 of 11000 
  beta = 
    -0.05915
     1.05668
  
  
  MCMCprobit iteration 3301 of 11000 
  beta = 
    -0.01819
     0.86660
  
  
  MCMCprobit iteration 4401 of 11000 
  beta = 
    -0.01958
     0.95408
  
  
  MCMCprobit iteration 5501 of 11000 
  beta = 
    -0.04281
     0.93104
  
  
  MCMCprobit iteration 6601 of 11000 
  beta = 
    -0.04593
     0.95252
  
  
  MCMCprobit iteration 7701 of 11000 
  beta = 
     0.01012
     1.01175
  
  
  MCMCprobit iteration 8801 of 11000 
  beta = 
     0.01985
     1.03090
  
  
  MCMCprobit iteration 9901 of 11000 
  beta = 
    -0.02902
     0.99117
  How to cite this model in Zelig:
    R Core Team. 2007.
    ls: Least Squares Regression for Continuous Dependent Variables
    in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
    "Zelig: Everyone's Statistical Software," http://zeligproject.org/
  How to cite this model in Zelig:
    R Core Team. 2007.
    ls: Least Squares Regression for Continuous Dependent Variables
    in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
    "Zelig: Everyone's Statistical Software," http://zeligproject.org/
  How to cite this model in Zelig:
    R Core Team. 2007.
    ls: Least Squares Regression for Continuous Dependent Variables
    in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
    "Zelig: Everyone's Statistical Software," http://zeligproject.org/
  How to cite this model in Zelig:
    Alexander D'Amour. 2008.
    quantile: Quantile Regression for Continuous Dependent Variables
    in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
    "Zelig: Everyone's Statistical Software," http://zeligproject.org/
  How to cite this model in Zelig:
    Alexander D'Amour. 2008.
    quantile: Quantile Regression for Continuous Dependent Variables
    in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
    "Zelig: Everyone's Statistical Software," http://zeligproject.org/
  How to cite this model in Zelig:
    Alexander D'Amour. 2008.
    quantile: Quantile Regression for Continuous Dependent Variables
    in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
    "Zelig: Everyone's Statistical Software," http://zeligproject.org/
  -- Imputation 1 --
  
    1  2
  
  -- Imputation 2 --
  
    1  2
  
  -- Imputation 3 --
  
    1  2  3
  
  -- Imputation 4 --
  
    1  2  3
  
  -- Imputation 5 --
  
    1  2  3
  
  How to cite this model in Zelig:
    Alexander D'Amour. 2008.
    quantile: Quantile Regression for Continuous Dependent Variables
    in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
    "Zelig: Everyone's Statistical Software," http://zeligproject.org/
  How to cite this model in Zelig:
    Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau. 2019.
    relogit: Rare Events Logistic Regression for Dichotomous Dependent Variables
    in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
    "Zelig: Everyone's Statistical Software," http://zeligproject.org/
  How to cite this model in Zelig:
    Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau. 2019.
    relogit: Rare Events Logistic Regression for Dichotomous Dependent Variables
    in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
    "Zelig: Everyone's Statistical Software," http://zeligproject.org/
  How to cite this model in Zelig:
    Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau. 2019.
    relogit: Rare Events Logistic Regression for Dichotomous Dependent Variables
    in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
    "Zelig: Everyone's Statistical Software," http://zeligproject.org/
  How to cite this model in Zelig:
    Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau. 2019.
    relogit: Rare Events Logistic Regression for Dichotomous Dependent Variables
    in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
    "Zelig: Everyone's Statistical Software," http://zeligproject.org/
  Model: 
  
  Call:
  relogit(formula = cbind(conflict, 1 - conflict) ~ major + contig + 
      power + maxdem + mindem + years, data = as.data.frame(.), 
      tau = 0.00343020423212146, bias.correct = TRUE, case.control = "weighting")
  
  Deviance Residuals: 
       Min        1Q    Median        3Q       Max  
  -0.94933  -0.04958  -0.02173   0.19019   0.48253  
  
  Coefficients:
              Estimate Std. Error (robust) z value Pr(>|z|)    
  (Intercept) -6.61889             0.31748 -20.848  < 2e-16 ***
  major        1.67218             0.27842   6.006  1.9e-09 ***
  contig       4.01640             0.22954  17.498  < 2e-16 ***
  power        0.28836             0.41574   0.694 0.487925    
  maxdem       0.06629             0.01925   3.444 0.000573 ***
  mindem      -0.08143             0.02996  -2.718 0.006572 ** 
  years       -0.11707             0.01336  -8.764  < 2e-16 ***
  ---
  Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
  
  (Dispersion parameter for binomial family taken to be 1)
  
      Null deviance: 143.116  on 3125  degrees of freedom
  Residual deviance:  91.178  on 3119  degrees of freedom
  AIC: 27.041
  
  Number of Fisher Scoring iterations: 10
  
  Model: 
  
  Call:
  relogit(formula = cbind(conflict, 1 - conflict) ~ major + contig + 
      power + maxdem + mindem + years, data = as.data.frame(.), 
      tau = 0.00343020423212146, bias.correct = TRUE, case.control = "weighting")
  
  Deviance Residuals: 
       Min        1Q    Median        3Q       Max  
  -0.94933  -0.04958  -0.02173   0.19019   0.48253  
  
  Coefficients:
              Estimate Std. Error (robust) z value Pr(>|z|)    
  (Intercept) -6.61889             0.31748 -20.848  < 2e-16 ***
  major        1.67218             0.27842   6.006  1.9e-09 ***
  contig       4.01640             0.22954  17.498  < 2e-16 ***
  power        0.28836             0.41574   0.694 0.487925    
  maxdem       0.06629             0.01925   3.444 0.000573 ***
  mindem      -0.08143             0.02996  -2.718 0.006572 ** 
  years       -0.11707             0.01336  -8.764  < 2e-16 ***
  ---
  Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
  
  (Dispersion parameter for binomial family taken to be 1)
  
      Null deviance: 143.116  on 3125  degrees of freedom
  Residual deviance:  91.178  on 3119  degrees of freedom
  AIC: 27.041
  
  Number of Fisher Scoring iterations: 10
  
  Model: 
  
  Call:
  relogit(formula = cbind(conflict, 1 - conflict) ~ major + contig + 
      power + maxdem + mindem + years, data = as.data.frame(.), 
      tau = 0.00343020423212146, bias.correct = TRUE, case.control = "weighting")
  
  Deviance Residuals: 
       Min        1Q    Median        3Q       Max  
  -0.94933  -0.04958  -0.02173   0.19019   0.48253  
  
  Coefficients:
              Estimate (OR) Std. Error (OR, robust) z value Pr(>|z|)    
  (Intercept)      0.001335                0.001521 -20.848  < 2e-16 ***
  major            5.323748                4.119262   6.006  1.9e-09 ***
  contig          55.501077               41.045844  17.498  < 2e-16 ***
  power            1.334239                1.410153   0.694 0.487925    
  maxdem           1.068533                0.054366   3.444 0.000573 ***
  mindem           0.921799                0.067683  -2.718 0.006572 ** 
  years            0.889520                0.041892  -8.764  < 2e-16 ***
  ---
  Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
  
  (Dispersion parameter for binomial family taken to be 1)
  
      Null deviance: 143.116  on 3125  degrees of freedom
  Residual deviance:  91.178  on 3119  degrees of freedom
  AIC: 27.041
  
  Number of Fisher Scoring iterations: 10
  
  Model: 
  
  Call:
  z5$zelig(formula = conflict ~ major + contig + power + maxdem + 
      mindem + years, tau = 1042/303772, case.control = "prior", 
      data = mid)
  
  Deviance Residuals: 
      Min       1Q   Median       3Q      Max  
  -1.0596  -0.0376  -0.0231   2.1085   4.4649  
  
  Coefficients:
               Estimate Std. Error z value Pr(>|z|)
  (Intercept) -7.525688   0.179685 -41.883  < 2e-16
  major        2.433432   0.157561  15.444  < 2e-16
  contig       4.112491   0.157650  26.086  < 2e-16
  power        1.053747   0.217243   4.851 1.23e-06
  maxdem       0.048431   0.010065   4.812 1.50e-06
  mindem      -0.065249   0.012802  -5.097 3.45e-07
  years       -0.063359   0.005705 -11.106  < 2e-16
  
  (Dispersion parameter for binomial family taken to be 1)
  
      Null deviance: 3979.5  on 3125  degrees of freedom
  Residual deviance: 1868.5  on 3119  degrees of freedom
  AIC: 1882.5
  
  Number of Fisher Scoring iterations: 6
  
  Next step: Use 'setx' method
  Model: 
  
  Call:
  `z5$zelig`(formula = conflict ~ major + contig + power + maxdem + 
      mindem + years, tau = 1042/303772, case.control = "prior", 
      data = mid)
  
  Deviance Residuals: 
      Min       1Q   Median       3Q      Max  
  -1.0596  -0.0376  -0.0231   2.1085   4.4649  
  
  Coefficients:
              Estimate (OR) Std. Error (OR) z value Pr(>|z|)    
  (Intercept)     5.391e-04       9.686e-05 -41.883  < 2e-16 ***
  major           1.140e+01       1.796e+00  15.444  < 2e-16 ***
  contig          6.110e+01       9.632e+00  26.086  < 2e-16 ***
  power           2.868e+00       6.231e-01   4.851 1.23e-06 ***
  maxdem          1.050e+00       1.056e-02   4.812 1.50e-06 ***
  mindem          9.368e-01       1.199e-02  -5.097 3.45e-07 ***
  years           9.386e-01       5.355e-03 -11.106  < 2e-16 ***
  ---
  Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
  
  (Dispersion parameter for binomial family taken to be 1)
  
      Null deviance: 3979.5  on 3125  degrees of freedom
  Residual deviance: 1868.5  on 3119  degrees of freedom
  AIC: 1882.5
  
  Number of Fisher Scoring iterations: 6
  
  How to cite this model in Zelig:
    Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau. 2019.
    relogit: Rare Events Logistic Regression for Dichotomous Dependent Variables
    in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
    "Zelig: Everyone's Statistical Software," http://zeligproject.org/
  How to cite this model in Zelig:
    Nicholas Carnes. 2019.
    normal-survey: Normal Regression for Continuous Dependent Variables with Survey Weights
    in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
    "Zelig: Everyone's Statistical Software," http://zeligproject.org/
  How to cite this model in Zelig:
    Nicholas Carnes. 2019.
    normal-survey: Normal Regression for Continuous Dependent Variables with Survey Weights
    in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
    "Zelig: Everyone's Statistical Software," http://zeligproject.org/
  How to cite this model in Zelig:
    Nicholas Carnes. 2019.
    normal-survey: Normal Regression for Continuous Dependent Variables with Survey Weights
    in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
    "Zelig: Everyone's Statistical Software," http://zeligproject.org/
  How to cite this model in Zelig:
    Nicholas Carnes. 2019.
    normal-survey: Normal Regression for Continuous Dependent Variables with Survey Weights
    in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
    "Zelig: Everyone's Statistical Software," http://zeligproject.org/
  How to cite this model in Zelig:
    Nicholas Carnes. 2019.
    normal-survey: Normal Regression for Continuous Dependent Variables with Survey Weights
    in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
    "Zelig: Everyone's Statistical Software," http://zeligproject.org/
  
  
  MCMCtobit iteration 1 of 11000 
  beta = 
     0.09918
     0.93061
  sigma2 =    0.70553
  
  
  MCMCtobit iteration 1101 of 11000 
  beta = 
     0.07445
     0.91668
  sigma2 =    0.99194
  
  
  MCMCtobit iteration 2201 of 11000 
  beta = 
     0.00068
     0.99780
  sigma2 =    0.99760
  
  
  MCMCtobit iteration 3301 of 11000 
  beta = 
     0.04504
     0.95894
  sigma2 =    0.95844
  
  
  MCMCtobit iteration 4401 of 11000 
  beta = 
    -0.03116
     1.00165
  sigma2 =    0.97216
  
  
  MCMCtobit iteration 5501 of 11000 
  beta = 
    -0.01771
     0.98161
  sigma2 =    0.94482
  
  
  MCMCtobit iteration 6601 of 11000 
  beta = 
    -0.00829
     0.96500
  sigma2 =    0.90195
  
  
  MCMCtobit iteration 7701 of 11000 
  beta = 
     0.09984
     0.93619
  sigma2 =    1.03124
  
  
  MCMCtobit iteration 8801 of 11000 
  beta = 
     0.03092
     0.99268
  sigma2 =    0.95955
  
  
  MCMCtobit iteration 9901 of 11000 
  beta = 
     0.04477
     0.93956
  sigma2 =    1.01930
  How to cite this model in Zelig:
    R Core Team. 2007.
    ls: Least Squares Regression for Continuous Dependent Variables
    in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
    "Zelig: Everyone's Statistical Software," http://zeligproject.org/
  Model: Combined Imputations 
  
              Estimate Std.Error z value Pr(>|z|)
  (Intercept)  -0.1224    0.2140   -0.57     0.57
  x             0.0304    0.3763    0.08     0.94
  
  For results from individual imputed datasets, use summary(x, subset = i:j)
  Next step: Use 'setx' method
  How to cite this model in Zelig:
    R Core Team. 2007.
    ls: Least Squares Regression for Continuous Dependent Variables
    in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
    "Zelig: Everyone's Statistical Software," http://zeligproject.org/
  ── 1. Failure: REQUIRE TEST for to_zelig_mi (@test-utils.R#29)  ────────────────
  round(as.numeric(combine_coef_se(z.out.mi.boot)[[1]][1]), 3) not equal to -0.094.
  1/1 mismatches
  [1] -0.143 - -0.094 == -0.049
  
  How to cite this model in Zelig:
    R Core Team. 2007.
    ls: Least Squares Regression for Continuous Dependent Variables
    in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
    "Zelig: Everyone's Statistical Software," http://zeligproject.org/
  How to cite this model in Zelig:
    R Core Team. 2007.
    ls: Least Squares Regression for Continuous Dependent Variables
    in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
    "Zelig: Everyone's Statistical Software," http://zeligproject.org/
  How to cite this model in Zelig:
    R Core Team. 2007.
    ls: Least Squares Regression for Continuous Dependent Variables
    in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
    "Zelig: Everyone's Statistical Software," http://zeligproject.org/
  Model: Combined Bootstraps 
  
              Estimate Std.Error z value Pr(>|z|)
  (Intercept)  0.00652   0.24176    0.03     0.98
  x            0.17258   0.35539    0.49     0.63
  
  For results from individual bootstrapped datasets, use summary(x, subset = i:j)
  Next step: Use 'setx' method
  Model: Combined Bootstraps 
  
              Estimate Std.Error z value Pr(>|z|)
  (Intercept)  0.00652   0.24176    0.03     0.98
  x            0.17258   0.35539    0.49     0.63
  
  For results from individual bootstrapped datasets, use summary(x, subset = i:j)
  Next step: Use 'setx' method
  ── 2. Failure: REQUIRE TEST for combine_coef_se for bootstrapped (@test-utils.R#
  round(...) not equal to -0.052.
  1/1 mismatches
  [1] 0.01 - -0.052 == 0.062
  
  How to cite this model in Zelig:
    R Core Team. 2007.
    ls: Least Squares Regression for Continuous Dependent Variables
    in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
    "Zelig: Everyone's Statistical Software," http://zeligproject.org/
  How to cite this model in Zelig:
    R Core Team. 2007.
    ls: Least Squares Regression for Continuous Dependent Variables
    in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
    "Zelig: Everyone's Statistical Software," http://zeligproject.org/
  Noninteger weights were set, but the model in Zelig is only able to use integer valued weights.
   A bootstrapped version of the dataset was constructed using the weights as sample probabilities.
  
  How to cite this model in Zelig:
    R Core Team. 2007.
    logit: Logistic Regression for Dichotomous Dependent Variables
    in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
    "Zelig: Everyone's Statistical Software," http://zeligproject.org/
  How to cite this model in Zelig:
    R Core Team. 2007.
    logit: Logistic Regression for Dichotomous Dependent Variables
    in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
    "Zelig: Everyone's Statistical Software," http://zeligproject.org/
  How to cite this model in Zelig:
    R Core Team. 2007.
    ls: Least Squares Regression for Continuous Dependent Variables
    in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
    "Zelig: Everyone's Statistical Software," http://zeligproject.org/
  How to cite this model in Zelig:
    R Core Team. 2007.
    ls: Least Squares Regression for Continuous Dependent Variables
    in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
    "Zelig: Everyone's Statistical Software," http://zeligproject.org/
  How to cite this model in Zelig:
    R Core Team. 2007.
    ls: Least Squares Regression for Continuous Dependent Variables
    in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
    "Zelig: Everyone's Statistical Software," http://zeligproject.org/
  How to cite this model in Zelig:
    R Core Team. 2007.
    poisson: Poisson Regression for Event Count Dependent Variables
    in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
    "Zelig: Everyone's Statistical Software," http://zeligproject.org/
  How to cite this model in Zelig:
    R Core Team. 2007.
    poisson: Poisson Regression for Event Count Dependent Variables
    in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
    "Zelig: Everyone's Statistical Software," http://zeligproject.org/
  How to cite this model in Zelig:
    R Core Team. 2007.
    ls: Least Squares Regression for Continuous Dependent Variables
    in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
    "Zelig: Everyone's Statistical Software," http://zeligproject.org/
  How to cite this model in Zelig:
    R Core Team. 2007.
    ls: Least Squares Regression for Continuous Dependent Variables
    in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
    "Zelig: Everyone's Statistical Software," http://zeligproject.org/
  setx:
    (Intercept) x
  1           1 0
  setx1:
    (Intercept) x
  1           1 1
  
  Next step: Use 'sim' method
  
   sim x :
   -----
  ev
            mean          sd           50%        2.5%      97.5%
  1 -0.000499563 0.006496101 -0.0005420348 -0.01340449 0.01259395
  pv
               mean         sd          50%       2.5%     97.5%
  [1,] -0.002512827 0.09819415 -0.003183565 -0.2043797 0.1944359
  
   sim x1 :
   -----
  ev
       mean          sd      50%      2.5%   97.5%
  1 1.00022 0.006045548 1.000062 0.9887536 1.01215
  pv
            mean         sd       50%      2.5%    97.5%
  [1,] 0.9993027 0.09953018 0.9999023 0.8025547 1.197061
  fd
        mean         sd      50%      2.5%    97.5%
  1 1.000719 0.01076163 1.000655 0.9799646 1.022849
  How to cite this model in Zelig:
    R Core Team. 2007.
    ls: Least Squares Regression for Continuous Dependent Variables
    in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
    "Zelig: Everyone's Statistical Software," http://zeligproject.org/
  Model: Combined Bootstraps 
  
              Estimate Std.Error z value Pr(>|z|)
  (Intercept)  -0.0003    0.0060   -0.05     0.96
  x             1.0006    0.0115   86.67   <2e-16
  
  For results from individual bootstrapped datasets, use summary(x, subset = i:j)
  Next step: Use 'setx' method
  Bootstrapped Dataset 2
  Call:
  z5$zelig(formula = formula, data = data, by = by, bootstrap = 20)
  
  Residuals:
       Min       1Q   Median       3Q      Max 
  -0.09973 -0.09750 -0.09523  0.10254  0.10486 
  
  Coefficients:
               Estimate Std. Error t value Pr(>|t|)
  (Intercept) -0.004872   0.006185  -0.788    0.431
  x            1.004608   0.010780  93.194   <2e-16
  
  Residual standard error: 0.1001 on 998 degrees of freedom
  Multiple R-squared:  0.8969,	Adjusted R-squared:  0.8968 
  F-statistic:  8685 on 1 and 998 DF,  p-value: < 2.2e-16
  
  Bootstrapped Dataset 3
  Call:
  z5$zelig(formula = formula, data = data, by = by, bootstrap = 20)
  
  Residuals:
       Min       1Q   Median       3Q      Max 
  -0.10360 -0.09514 -0.08812  0.10411  0.11242 
  
  Coefficients:
              Estimate Std. Error t value Pr(>|t|)
  (Intercept) 0.003619   0.006352    0.57    0.569
  x           0.983959   0.010756   91.48   <2e-16
  
  Residual standard error: 0.09988 on 998 degrees of freedom
  Multiple R-squared:  0.8934,	Adjusted R-squared:  0.8933 
  F-statistic:  8368 on 1 and 998 DF,  p-value: < 2.2e-16
  
  Next step: Use 'setx' method
  How to cite this model in Zelig:
    R Core Team. 2007.
    ls: Least Squares Regression for Continuous Dependent Variables
    in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
    "Zelig: Everyone's Statistical Software," http://zeligproject.org/
  Model: Combined Imputations 
  
              Estimate Std.Error z value Pr(>|z|)
  (Intercept)   -1.001     1.733   -0.58     0.56
  x              1.001     0.011   91.25   <2e-16
  
  For results from individual imputed datasets, use summary(x, subset = i:j)
  Next step: Use 'setx' method
  Imputed Dataset 1
  Call:
  z5$zelig(formula = formula, data = data, by = by)
  
  Residuals:
      Min      1Q  Median      3Q     Max 
  -0.1003 -0.1000  0.0000  0.1000  0.1003 
  
  Coefficients:
                Estimate Std. Error t value Pr(>|t|)
  (Intercept) -0.0003003  0.0063356  -0.047    0.962
  x            1.0006000  0.0109654  91.251   <2e-16
  
  Residual standard error: 0.1001 on 998 degrees of freedom
  Multiple R-squared:  0.893,	Adjusted R-squared:  0.8929 
  F-statistic:  8327 on 1 and 998 DF,  p-value: < 2.2e-16
  
  Next step: Use 'setx' method
  Model: 
  $rr
  [1] 0
  
  
  Call:
  zb.out$zelig(formula = yb ~ xx + zz, data = data, by = "rr")
  
  Deviance Residuals: 
      Min       1Q   Median       3Q      Max  
  -2.6031   0.2531   0.3125   0.3947   0.6564  
  
  Coefficients:
              Estimate Std. Error z value Pr(>|z|)
  (Intercept)    1.274      1.045   1.219    0.223
  xx             1.088      1.195   0.910    0.363
  zz             1.975      2.152   0.918    0.359
  
  (Dispersion parameter for binomial family taken to be 1)
  
      Null deviance: 28.820  on 55  degrees of freedom
  Residual deviance: 26.896  on 53  degrees of freedom
  AIC: 32.896
  
  Number of Fisher Scoring iterations: 6
  
  Model: 
  $rr
  [1] 1
  
  
  Call:
  zb.out$zelig(formula = yb ~ xx + zz, data = data, by = "rr")
  
  Deviance Residuals: 
      Min       1Q   Median       3Q      Max  
  -2.6982   0.2266   0.3859   0.7298   1.0780  
  
  Coefficients:
              Estimate Std. Error z value Pr(>|z|)
  (Intercept)  -0.2255     1.0561  -0.214    0.831
  xx            2.2702     1.1632   1.952    0.051
  zz            2.1285     1.8878   1.128    0.260
  
  (Dispersion parameter for binomial family taken to be 1)
  
      Null deviance: 41.724  on 43  degrees of freedom
  Residual deviance: 35.553  on 41  degrees of freedom
  AIC: 41.553
  
  Number of Fisher Scoring iterations: 5
  
  Next step: Use 'setx' method
  
   sim x :
   -----
  ev
            mean         sd       50%      2.5%     97.5%
  [1,] 0.9476733 0.05386777 0.9665833 0.8009766 0.9955033
  pv
           0     1
  [1,] 0.058 0.942
  
   sim x :
   -----
  ev
            mean         sd       50%      2.5%     97.5%
  [1,] 0.9367684 0.07021485 0.9611249 0.7428204 0.9949634
  pv
           0     1
  [1,] 0.061 0.939
  
   sim x1 :
   -----
  ev
            mean         sd       50%      2.5%     97.5%
  [1,] 0.8918403 0.06422275 0.9049403 0.7298034 0.9740786
  pv
           0     1
  [1,] 0.101 0.899
  fd
              mean         sd         50%       2.5%     97.5%
  [1,] -0.05583303 0.07977401 -0.05088306 -0.2221262 0.1014462
  
   sim x1 :
   -----
  ev
            mean         sd       50%      2.5%     97.5%
  [1,] 0.6990619 0.09467077 0.7081549 0.5028567 0.8603348
  pv
          0    1
  [1,] 0.31 0.69
  fd
             mean        sd        50%      2.5%       97.5%
  [1,] -0.2377065 0.1148547 -0.2380952 -0.466211 -0.01659926
  ══ testthat results  ═══════════════════════════════════════════════════════════
  OK: 1324 SKIPPED: 0 FAILED: 2
  1. Failure: REQUIRE TEST for to_zelig_mi (@test-utils.R#29) 
  2. Failure: REQUIRE TEST for combine_coef_se for bootstrapped (@test-utils.R#50) 
  
  Error: testthat unit tests failed
  Execution halted