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
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cprobit.pdf |cprobit.html
cprobit/json (API)

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

Peer review:

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

Datasets:

On CRAN:

1 exports 0.93 score 61 dependencies 1 mentions 163 downloads

Last updated 3 years agofrom:2547bae1c6. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 06 2024
R-4.5-winOKSep 06 2024
R-4.5-linuxOKSep 06 2024
R-4.4-winOKSep 06 2024
R-4.4-macOKSep 06 2024
R-4.3-winOKSep 06 2024
R-4.3-macOKSep 06 2024

Exports:cprobit

Dependencies:abindbackportsbootbroomcarcarDataclicolorspacecowplotcpp11DerivdoBydplyrfansifarvergenericsggplot2gluegridExtragtableisobandlabelinglatticelifecyclelme4magrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrmunsellnlmenloptrnnetnortestnumDerivpbkrtestpillarpkgconfigpurrrquantregR6RColorBrewerRcppRcppEigenrlangscalesSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithr