CRAN Package Check Results for Package ivmodel

Last updated on 2024-07-24 08:56:51 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 1.9.1 12.85 126.27 139.12 NOTE
r-devel-linux-x86_64-debian-gcc 1.9.1 10.34 93.65 103.99 NOTE
r-devel-linux-x86_64-fedora-clang 1.9.1 175.36 NOTE
r-devel-linux-x86_64-fedora-gcc 1.9.1 164.60 NOTE
r-devel-windows-x86_64 1.9.1 13.00 114.00 127.00 NOTE
r-patched-linux-x86_64 1.9.1 11.92 118.37 130.29 NOTE
r-release-linux-x86_64 1.9.1 15.02 120.94 135.96 NOTE
r-release-macos-arm64 1.9.1 49.00 NOTE
r-release-macos-x86_64 1.9.1 80.00 NOTE
r-release-windows-x86_64 1.9.1 13.00 114.00 127.00 NOTE
r-oldrel-macos-arm64 1.9.1 51.00 OK
r-oldrel-macos-x86_64 1.9.1 126.00 OK
r-oldrel-windows-x86_64 1.9.1 15.00 143.00 158.00 OK

Check Details

Version: 1.9.1
Check: Rd files
Result: 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). | ^ 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). | ^ Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-patched-linux-x86_64, r-release-linux-x86_64, r-release-macos-arm64, r-release-macos-x86_64, r-release-windows-x86_64