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:
cprobit_1.0.2.tar.gz
cprobit_1.0.2.zip(r-4.5)cprobit_1.0.2.zip(r-4.4)cprobit_1.0.2.zip(r-4.3)
cprobit_1.0.2.tgz(r-4.4-any)cprobit_1.0.2.tgz(r-4.3-any)
cprobit_1.0.2.tar.gz(r-4.5-noble)cprobit_1.0.2.tar.gz(r-4.4-noble)
cprobit_1.0.2.tgz(r-4.4-emscripten)cprobit_1.0.2.tgz(r-4.3-emscripten)
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')) |
Bug tracker:https://github.com/nyilin/cprobit/issues
- bg_variability - Inpatient blood glucose data for 1200 patients
Last updated 3 years agofrom:2547bae1c6. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 05 2024 |
| R-4.5-win | OK | Nov 05 2024 |
| R-4.5-linux | OK | Nov 05 2024 |
| R-4.4-win | OK | Nov 05 2024 |
| R-4.4-mac | OK | Nov 05 2024 |
| R-4.3-win | OK | Nov 05 2024 |
| R-4.3-mac | OK | Nov 05 2024 |
Exports:cprobit
Dependencies:abindbackportsbootbroomcarcarDataclicolorspacecowplotcpp11DerivdoBydplyrfansifarverFormulagenericsggplot2gluegridExtragtableisobandlabelinglatticelifecyclelme4magrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrmunsellnlmenloptrnnetnortestnumDerivpbkrtestpillarpkgconfigpurrrquantregR6RColorBrewerRcppRcppEigenrlangscalesSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithr
