CRAN Package Check Results for Package ivmodel

Last updated on 2024-05-18 13:49:24 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 1.9.1 12.08 124.56 136.64 NOTE
r-devel-linux-x86_64-debian-gcc 1.9.1 11.18 93.15 104.33 NOTE
r-devel-linux-x86_64-fedora-clang 1.9.1 173.41 NOTE
r-devel-linux-x86_64-fedora-gcc 1.9.1 224.31 NOTE
r-devel-windows-x86_64 1.9.1 12.00 111.00 123.00 NOTE
r-patched-linux-x86_64 1.9.1 14.56 117.39 131.95 NOTE
r-release-linux-x86_64 1.9.1 11.80 120.47 132.27 NOTE
r-release-macos-arm64 1.9.1 49.00 NOTE
r-release-windows-x86_64 1.9.1 14.00 113.00 127.00 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 15.00 139.00 154.00 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-windows-x86_64