CRAN Package Check Results for Maintainer ‘Hyunseung Kang <hyunseung at stat.wisc.edu>’

Last updated on 2025-05-15 09:53:01 CEST.

Package NOTE OK
ivmodel 13
sisVIVE 2 11

Package ivmodel

Current CRAN status: NOTE: 13

Version: 1.9.1
Check: CRAN incoming feasibility
Result: NOTE Maintainer: ‘Hyunseung Kang <hyunseung@stat.wisc.edu>’ No Authors@R field in DESCRIPTION. Please add one, modifying Authors@R: c(person(given = "Hyunseung", family = "Kang", role = c("aut", "cre"), email = "hyunseung@stat.wisc.edu"), person(given = "Yang", family = "Jiang", role = "aut"), person(given = "Qingyuan", family = "Zhao", role = "aut"), person(given = "Dylan", family = "Small", role = "aut")) as necessary. Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc

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, r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64

Package sisVIVE

Current CRAN status: NOTE: 2, OK: 11

Version: 1.4
Check: CRAN incoming feasibility
Result: NOTE Maintainer: ‘Hyunseung Kang <hyunseung@stat.wisc.edu>’ No Authors@R field in DESCRIPTION. Please add one, modifying Authors@R: person(given = "Hyunseung", family = "Kang", role = c("aut", "cre"), email = "hyunseung@stat.wisc.edu") as necessary. Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc

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