• using R Under development (unstable) (2012-02-23 r58468)
• using platform: i686-pc-linux-gnu (32-bit)
• using session charset: UTF-8
• checking for file ‘tonymisc/DESCRIPTION’ ... OK
• this is package ‘tonymisc’ version ‘1.0.2’
• checking package dependencies ... OK
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• checking if there is a namespace ... NOTE
  As from R 2.14.0 all packages need a namespace.
  One will be generated on installation, but it is better to handcraft a
  NAMESPACE file: R CMD build will produce a suitable starting point.
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• checking R code for possible problems ... NOTE
  getSummary.pgmm: no visible global function definition for ‘mtest’
  getSummary.pgmm: no visible global function definition for ‘sargan’
  print.mfx: warning in printCoefmat(x$coefficients[-1, ], P.value =
  TRUE, has.Pvalue = TRUE): partial argument match of 'P.value' to
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  = TRUE): partial argument match of 'P.value' to 'P.values'
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• checking for unstated dependencies in examples ... WARNING
  ‘library’ or ‘require’ calls not declared from:
  ‘Ecdat’ ‘plm’
  ‘data(package=)’ call not declared from: ‘plm’
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• checking examples ... ERROR
  Running examples in ‘tonymisc-Ex.R’ failed
  The error most likely occurred in:
  
  > ### Name: getSummary.robust
  > ### Title: getSummary Methods for Extending mtable()
  > ### Aliases: getSummary.robust getSummary.ivreg getSummary.gls
  > ### getSummary.tonyiv getSummary.plm getSummary.pgmm getSummary.mfx
  >
  > ### ** Examples
  >
  >
  > ## --------------------------------- ##
  > ## Example 1: Extensions for Robust ##
  > ## --------------------------------- ##
  >
  > library(tonymisc)
  > data(mktshare)
  >
  > mkt.lm = lm(y~x1+x2+p+z1, data=mktshare)
  >
  >
  > mkt.rob = robust(mkt.lm) ## Default is hc3 heteroskedasticity corrrection
  > mkt.rob2 = robust(mkt.lm, type = "hc1") ## Can specify hc0, hc1, hc2, hc3
  > mkt.rob3 = robust(mkt.lm, type = "no") ## Can specify type = "no" for not corrected SEs
  >
  > mtable(mkt.rob, mkt.rob2, mkt.rob3) ## Coding Kludge: no correction is reported as type = hc9
  
  Calls:
  mkt.rob: lm(resp ~ RHS, data = mktshare)
  mkt.rob2: lm(resp ~ RHS, data = mktshare)
  mkt.rob3: lm(resp ~ RHS, data = mktshare)
  
  =================================================
  mkt.rob mkt.rob2 mkt.rob3
  -------------------------------------------------
  (Intercept) -22.947*** -22.947*** -22.947***
  (0.379) (0.364) (0.425)
  x1 2.347*** 2.347*** 2.347***
  (0.090) (0.087) (0.103)
  x2 4.661*** 4.661*** 4.661***
  (0.122) (0.117) (0.103)
  p -0.779*** -0.779*** -0.779***
  (0.092) (0.089) (0.073)
  z1 -0.495*** -0.495*** -0.495***
  (0.117) (0.113) (0.113)
  -------------------------------------------------
  R-squared 0.986 0.986 0.986
  adj. R-squared 0.985 0.985 0.985
  sigma 0.828 0.828 0.828
  F (omnibus) 1967.939 2136.217 1643.586
  p-val (omnibus) 0.000 0.000 0.000
  N 100 100 100
  type hc3 hc1 hc9
  =================================================
  >
  > mkt.rob4= robust(mkt.lm, keep="p") ## keeps intercept by default
  > mkt.rob5= robust(mkt.lm, keep=c("x1","p")) ## can keep more than one
  > mkt.rob6= robust(mkt.lm, keep=c("x1", "p"), drop="(Intercept)") ## Drop intercept.
  >
  > mtable(mkt.rob4, mkt.rob5, mkt.rob6)
  
  Calls:
  mkt.rob4: lm(resp ~ RHS, data = mktshare)
  mkt.rob5: lm(resp ~ RHS, data = mktshare)
  mkt.rob6: lm(resp ~ RHS, data = mktshare)
  
  =================================================
  mkt.rob4 mkt.rob5 mkt.rob6
  -------------------------------------------------
  (Intercept) -22.947*** -22.947***
  (0.379) (0.379)
  p -0.779*** -0.779*** -0.779***
  (0.092) (0.092) (0.092)
  x1 2.347*** 2.347***
  (0.090) (0.090)
  -------------------------------------------------
  R-squared 0.986 0.986 0.986
  adj. R-squared 0.985 0.985 0.985
  sigma 0.828 0.828 0.828
  F (omnibus) 1967.939 1967.939 1967.939
  p-val (omnibus) 0.000 0.000 0.000
  N 100 100 100
  type hc3 hc3 hc3
  =================================================
  >
  > mkt.rob7= robust(mkt.lm, type="no", drop=c("x1","z1")) ## type="no": extends selective output to lm
  > mkt.rob8= robust(mkt.lm, drop="(Intercept)", keep=c("x1", "x2")) ## Can drop intercept and specify keep
  >
  > mtable(mkt.rob7, mkt.rob8)
  
  Calls:
  mkt.rob7: lm(resp ~ RHS, data = mktshare)
  mkt.rob8: lm(resp ~ RHS, data = mktshare)
  
  ======================================
  mkt.rob7 mkt.rob8
  --------------------------------------
  (Intercept) -22.947***
  (0.425)
  x2 4.661*** 4.661***
  (0.103) (0.122)
  p -0.779***
  (0.073)
  z1 -0.495***
  (0.113)
  x1 2.347***
  (0.090)
  --------------------------------------
  R-squared 0.986 0.986
  adj. R-squared 0.985 0.985
  sigma 0.828 0.828
  F (omnibus) 1643.586 1967.939
  p-val (omnibus) 0.000 0.000
  N 100 100
  type hc9 hc3
  ======================================
  >
  > ## ------------------------------- ##
  > ## Example 2: Extensions for ivreg ##
  > ## ------------------------------- ##
  >
  > library(tonymisc)
  > data(mktshare)
  >
  > mkt.aer = ivreg(y~x1+x2+p|x1+x2+z1+z2,data=mktshare)
  > mkt.aer2 = ivreg(y~x1+x2+p|x1+z1+z2,data=mktshare)
  >
  > mtable(mkt.aer,mkt.aer2)
  
  Calls:
  mkt.aer: ivreg(formula = y ~ x1 + x2 + p | x1 + x2 + z1 + z2, data = mktshare)
  mkt.aer2: ivreg(formula = y ~ x1 + x2 + p | x1 + z1 + z2, data = mktshare)
  
  ====================================================
  mkt.aer mkt.aer2
  ----------------------------------------------------
  (Intercept) -19.990*** -15.259**
  (0.990) (5.309)
  x1 2.101*** 3.283*
  (0.147) (1.286)
  x2 5.040*** 3.132
  (0.193) (2.063)
  p -1.553*** -1.457***
  (0.255) (0.428)
  ----------------------------------------------------
  R-squared 0.969 0.917
  Wald Stat (2nd Stage) 999.550 262.036
  p-value (Wald) 0.000 0.000
  F-stat (1st Stage, relevance) 8.507
  p-value relevance 0.000
  J-Test Stat 2.369 0.000
  p-value (J-Test) 0.124 1.000
  N 100 100
  ====================================================
  >
  > ## ----------------------------- ##
  > ## Example 3: Extensions for gls ##
  > ## ----------------------------- ##
  >
  > library(tonymisc)
  > data(mktshare)
  >
  > mkt.gls1 = gls(y~x1, data=mktshare,correlation=corAR1(form=~1))
  > mkt.gls2 = gls(y~x1+x2, data=mktshare,correlation=corAR1(form=~1))
  > mkt.gls3 = gls(y~x1, data=mktshare,correlation=corARMA(p=2,q=2,form=~1))
  >
  > mtable(mkt.aer,mkt.aer2)
  
  Calls:
  mkt.aer: ivreg(formula = y ~ x1 + x2 + p | x1 + x2 + z1 + z2, data = mktshare)
  mkt.aer2: ivreg(formula = y ~ x1 + x2 + p | x1 + z1 + z2, data = mktshare)
  
  ====================================================
  mkt.aer mkt.aer2
  ----------------------------------------------------
  (Intercept) -19.990*** -15.259**
  (0.990) (5.309)
  x1 2.101*** 3.283*
  (0.147) (1.286)
  x2 5.040*** 3.132
  (0.193) (2.063)
  p -1.553*** -1.457***
  (0.255) (0.428)
  ----------------------------------------------------
  R-squared 0.969 0.917
  Wald Stat (2nd Stage) 999.550 262.036
  p-value (Wald) 0.000 0.000
  F-stat (1st Stage, relevance) 8.507
  p-value relevance 0.000
  J-Test Stat 2.369 0.000
  p-value (J-Test) 0.124 1.000
  N 100 100
  ====================================================
  >
  > ## ----------------------------- ##
  > ## Example 4: Extensions for mfx ##
  > ## Note: SEs are approximate ##
  > ## ----------------------------- ##
  >
  > library(tonymisc)
  > library(Ecdat)
  Error in library(Ecdat) : there is no package called ‘Ecdat’
  Execution halted