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-any)missreg3_3.1-1.zip(r-4.6-any)missreg3_3.1-1.zip(r-4.5-any)
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:

1.30 score 1 stars 2 scripts 19 exports 2 dependencies

Last updated from:ff2d0b6b0e. Checks:7 WARNING, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develWARNING124
source / vignettesOK177
linux-releaseWARNING177
macos-releaseWARNING122
macos-oldrelWARNING115
windows-develWARNING106
windows-releaseWARNING118
windows-oldrelWARNING93
wasm-releaseOK69

Exports:bin2stgbinlogisticbivbin2stgbivlocsc2stgcondclusbinlinbin2stglocsc2stgMEtaProspModInfML2directInfML2InfMLdirectInfmlefnmlefn.controlmlefn.control.innerMLInfna.keeprclusbinrclusbin2rclusbin3

Dependencies:glmmMLgtools