- using R version 4.5.2 (2025-10-31)
- using platform: x86_64-pc-linux-gnu
- R was compiled by
gcc-14 (Debian 14.3.0-10) 14.3.0
GNU Fortran (Debian 14.3.0-10) 14.3.0
- running under: Debian GNU/Linux forky/sid
- using session charset: UTF-8
- checking for file ‘RIIM/DESCRIPTION’ ... OK
- checking extension type ... Package
- this is package ‘RIIM’ version ‘2.0.0’
- package encoding: UTF-8
- checking package namespace information ... OK
- checking package dependencies ... OK
- checking if this is a source package ... OK
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- checking for hidden files and directories ... OK
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- checking for sufficient/correct file permissions ... OK
- checking serialization versions ... OK
- checking whether package ‘RIIM’ can be installed ... OK
See the install log for details.
- checking package directory ... OK
- checking for future file timestamps ... OK
- checking DESCRIPTION meta-information ... OK
- checking top-level files ... OK
- checking for left-over files ... OK
- checking index information ... OK
- checking package subdirectories ... OK
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- checking R files for syntax errors ... OK
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- checking Rd contents ... OK
- checking for unstated dependencies in examples ... OK
- checking examples ... [3s/5s] ERROR
Running examples in ‘RIIM-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: IPPW
> ### Title: Randomization-based inference using inverse post-matching
> ### probability weighting (IPPW)
> ### Aliases: IPPW
>
> ### ** Examples
>
> library(MASS)
> library(xgboost)
> library(optmatch)
>
> # Generate data
> set.seed(1)
> d = 3
> n = 30
> sigma = diag(d)
>
> # Generate X
> X_d = mvtnorm::rmvnorm(n, mean = rep(0,d), sigma = sigma)
>
> # Generate Z
> C = -2.5
> fx = 0.1*(X_d[,1])^3 + 0.3*(X_d[,2]) + 0.2*log((X_d[,3])^2) +
+ abs(X_d[,1]*X_d[,2]) + rnorm(n,0,1) + C
> p = exp(fx)/(1+exp(fx)) # the probability of receiving the treatment
> Z = rep(0,length(p))
> for(i in seq_along(p)){
+ Z[i] = rbinom(1,1,p[i])
+ }
>
> # Generate Y
> Y_0 = 0.2*(X_d[,1])^3 + 0.2*abs(X_d[,2]) + 0.5*abs(X_d[,3]) + rnorm(n,0,1)
> Y_1 = Y_0 + 1 + 0.3*X_d[,1] + 0.2*X_d[,3]^3
> Y = (1-Z)*Y_0 + Z*Y_1
>
> # The output
> est = IPPW(Y,Z,X_d,min.controls = 0.01,max.controls = 100,caliper=FALSE,
+ calipersd = 0.2,dim=FALSE,gamma=0.1,alpha=0.05)$estimate
Warning in optmatch::fullmatch(distmat, min.controls, max.controls) :
Without 'data' argument the order of the match is not guaranteed
to be the same as your original data.
Warning in throw_err_or_depr_msg("Passed unrecognized parameters: ", paste(head(names_unrecognized), :
Passed unrecognized parameters: verbose. This warning will become an error in a future version.
Warning in throw_err_or_depr_msg("Parameter '", match_old, "' has been renamed to '", :
Parameter 'data' has been renamed to 'x'. This warning will become an error in a future version.
Warning in throw_err_or_depr_msg("Parameter '", match_old, "' has been renamed to '", :
Parameter 'label' has been renamed to 'y'. This warning will become an error in a future version.
Error in process.y.margin.and.objective(y, base_margin, objective, params) :
Got numeric 'y' - supported objectives for this data are: reg:squarederror, reg:squaredlogerror, reg:logistic, reg:pseudohubererror, reg:absoluteerror, reg:quantileerror, count:poisson, reg:gamma, reg:tweedie. Was passed: binary:logistic
Calls: IPPW -> <Anonymous> -> process.y.margin.and.objective
Execution halted
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- checking for non-standard things in the check directory ... OK
- DONE
Status: 1 ERROR