Package: cprobit 1.0.2

cprobit: Conditional Probit Model for Analysing Continuous Outcomes

Implements the three-step workflow for robust analysis of change in two repeated measurements of continuous outcomes, described in Ning et al. (in press), "Robust estimation of the effect of an exposure on the change in a continuous outcome", BMC Medical Research Methodology.

Authors:Ning Yilin, Tan Chuen Seng

cprobit_1.0.2.tar.gz
cprobit_1.0.2.zip(r-4.7-any)cprobit_1.0.2.zip(r-4.6-any)cprobit_1.0.2.zip(r-4.5-any)
cprobit_1.0.2.tgz(r-4.6-any)cprobit_1.0.2.tgz(r-4.5-any)
cprobit_1.0.2.tar.gz(r-4.7-any)cprobit_1.0.2.tar.gz(r-4.6-any)
cprobit_1.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
cprobit/json (API)

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

Bug tracker:https://github.com/nyilin/cprobit/issues

Datasets:

On CRAN:

Conda:

2.70 score 387 downloads 1 mentions 1 exports 70 dependencies

Last updated from:2547bae1c6. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK150
source / vignettesOK186
linux-releaseOK142
macos-releaseOK201
macos-oldrelOK176
windows-develOK81
windows-releaseOK84
windows-oldrelOK75
wasm-releaseOK112

Exports:cprobit

Dependencies:abindbackportsbootbroomcarcarDataclicolorspacecowplotcpp11DerivdoBydplyrfarverforecastFormulafracdiffgenericsggplot2gluegridExtragtableisobandlabelinglatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmgcvminqamodelrnlmenloptrnnetnortestnumDerivpbkrtestpillarpkgconfigpurrrquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangS7scalesSparseMstringistringrsurvivaltibbletidyrtidyselecttimeDateurcautf8vctrsviridisLitewithrzoo