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)cprobit_1.0.2.zip(r-4.6)cprobit_1.0.2.zip(r-4.5)
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 156 downloads 1 mentions 1 exports 71 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64OK143
source / vignettesOK172
linux-release-x86_64OK138
macos-release-arm64OK176
macos-oldrel-arm64OK151
windows-develOK100
windows-releaseOK106
windows-oldrelOK91
wasm-releaseOK114

Exports:cprobit

Dependencies:abindbackportsbootbroomcarcarDataclicolorspacecowplotcpp11DerivdoBydplyrfarverforecastFormulafracdiffgenericsggplot2gluegridExtragtableisobandlabelinglatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrnlmenloptrnnetnortestnumDerivpbkrtestpillarpkgconfigpurrrquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangS7scalesSparseMstringistringrsurvivaltibbletidyrtidyselecttimeDateurcautf8vctrsviridisLitewithrzoo