Package: missreg3 3.1-1

missreg3: Regression Functions for Two-phase Response-selective Sampled Data

Performs a variety of regression analyses using semiparametric maximum likelihood for data subject to response selection and two-stage missingness.

Authors:Chris Wild <[email protected]>, with contributions from Yannan Jiang <[email protected]>.

missreg3_3.1-1.tar.gz
missreg3_3.1-1.zip(r-4.7)missreg3_3.1-1.zip(r-4.6)missreg3_3.1-1.zip(r-4.5)
missreg3_3.1-1.tgz(r-4.6-any)missreg3_3.1-1.tgz(r-4.5-any)
missreg3_3.1-1.tar.gz(r-4.7-any)missreg3_3.1-1.tar.gz(r-4.6-any)
missreg3_3.1-1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
missreg3/json (API)

# Install 'missreg3' in R:
install.packages('missreg3', repos = c('https://tslumley.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/tslumley/missreg3/issues

Datasets:

On CRAN:

Conda:

1.00 score 2 scripts 19 exports 2 dependencies

Last updated from:399bc6b423. Checks:7 WARNING, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64WARNING159
source / vignettesOK154
linux-release-x86_64WARNING158
macos-release-arm64WARNING154
macos-oldrel-arm64WARNING93
windows-develWARNING114
windows-releaseWARNING113
windows-oldrelWARNING127
wasm-releaseOK90

Exports:bin2stgbinlogisticbivbin2stgbivlocsc2stgcondclusbinlinbin2stglocsc2stgMEtaProspModInfML2directInfML2InfMLdirectInfmlefnmlefn.controlmlefn.control.innerMLInfna.keeprclusbinrclusbin2rclusbin3

Dependencies:glmmMLgtools