* using log directory 'd:/Rcompile/CRANpkg/local/4.4/ivmodel.Rcheck'
* using R version 4.4.2 (2024-10-31 ucrt)
* using platform: x86_64-w64-mingw32
* R was compiled by
    gcc.exe (GCC) 13.3.0
    GNU Fortran (GCC) 13.3.0
* running under: Windows Server 2022 x64 (build 20348)
* using session charset: UTF-8
* checking for file 'ivmodel/DESCRIPTION' ... OK
* checking extension type ... Package
* this is package 'ivmodel' version '1.9.1'
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See 'https://www.r-project.org/nosvn/R.check/r-release-windows-x86_64/ivmodel-00install.html' for details.
* checking installed package size ... OK
* checking package directory ... OK
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* checking Rd files ... [1s] NOTE
checkRd: (-1) ivmodel.Rd:37: Lost braces
    37 | and produces statistics for \eqn{\beta}. In particular, \code{ivmodel} computes the OLS, TSLS, k-class, limited information maximum likelihood (LIML), and Fuller-k  (Fuller 1977) estimates of \eqn{\beta} using \code{KClass}, \code{LIML}, and code{Fuller}. Also, \code{ivmodel} computes confidence intervals and hypothesis tests of the type \eqn{H_0: \beta = \beta_0} versus \eqn{H_0: \beta \neq \beta_0} for the said estimators as well as two weak-IV confidence intervals, Anderson and Rubin (Anderson and Rubin 1949) confidence interval (Anderson and Rubin 1949) and the conditional likelihood ratio confidence interval (Moreira 2003). Finally, the code also conducts a sensitivity analysis if \eqn{Z} is one-dimensional (i.e. there is only one instrument) using the method in Jiang et al. (2015).
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checkRd: (-1) ivmodelFormula.Rd:42: Lost braces
    42 | and produces statistics for \eqn{\beta}. In particular, \code{ivmodel} computes the OLS, TSLS, k-class, limited information maximum likelihood (LIML), and Fuller-k  (Fuller 1977) estimates of \eqn{\beta} using \code{KClass}, \code{LIML}, and code{Fuller}. Also, \code{ivmodel} computes confidence intervals and hypothesis tests of the type \eqn{H_0: \beta = \beta_0} versus \eqn{H_0: \beta \neq \beta_0} for the said estimators as well as two weak-IV confidence intervals, Anderson and Rubin (Anderson and Rubin 1949) confidence interval (Anderson and Rubin 1949) and the conditional likelihood ratio confidence interval (Moreira 2003). Finally, the code also conducts a sensitivity analysis if \eqn{Z} is one-dimensional (i.e. there is only one instrument) using the method in Jiang et al. (2015).
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* checking tests ... [6s] OK
  Running 'testthat.R' [6s]
* checking PDF version of manual ... [22s] OK
* checking HTML version of manual ... [7s] OK
* DONE
Status: 1 NOTE