Last updated on 2025-05-09 01:50:36 CEST.
| Package | NOTE | OK |
|---|---|---|
| ivmodel | 13 | |
| sisVIVE | 2 | 11 |
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
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