Package: PhysioClinStats 0.3.1
PhysioClinStats: Clinical Inference Engine for Physiological Signal Studies
Statistical inference for rehabilitation studies: mixed-effects / MMRM longitudinal models, single-case (N-of-1) designs, estimands with multiple imputation, and per-estimate uncertainty. Heavy modelling backends are optional (guarded) Suggests.
Authors:
PhysioClinStats_0.3.1.tar.gz
PhysioClinStats_0.3.1.zip(r-4.7-any)PhysioClinStats_0.3.1.zip(r-4.6-any)PhysioClinStats_0.3.1.zip(r-4.5-any)
PhysioClinStats_0.3.1.tgz(r-4.6-any)PhysioClinStats_0.3.1.tgz(r-4.5-any)
PhysioClinStats_0.3.1.tar.gz(r-4.7-any)PhysioClinStats_0.3.1.tar.gz(r-4.6-any)
PhysioClinStats_0.3.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
PhysioClinStats/json (API)
| # Install 'PhysioClinStats' in R: |
| install.packages('PhysioClinStats', repos = c('https://x-biosignal.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/x-biosignal/physioexperiment/issues
Pkgdown/docs site:https://x-biosignal.github.io
Last updated from:4aabf952bf. Checks:7 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | NOTE | 238 | ||
| source / vignettes | OK | 273 | ||
| linux-release | NOTE | 292 | ||
| macos-release | NOTE | 190 | ||
| macos-oldrel | NOTE | 235 | ||
| windows-devel | NOTE | 152 | ||
| windows-release | NOTE | 164 | ||
| windows-oldrel | NOTE | 174 | ||
| wasm-release | OK | 170 |
Exports:analyseEstimandbayesEstimatecausalMediationclinStatsBackendsconformalIntervalconformalPredictcoxModelcredibleIntervaldefineEstimanddoseResponseESTIMAND_STRATEGIESestimatedMarginalMeansfitMixedModelfitMMRMlatentClassGrowthmilestoneHazardmultipleImputationpairwiseContrastspeToLongpoolEstimatesproportionalRecoveryRulerecoveryTrajectoryLMErequireBackendscedABABscedCelerationLinescedNAPscedPEMscedPNDscedTauscedTauUscedTwoSDBandsurvivalFittargetTrialEmulatetargetTrialProtocoltimeToMilestone
Dependencies:abindBiobaseBiocGenericscliDelayedArraydigestgenericsGenomicRangesIRangeslatticelifecycleMatrixMatrixGenericsmatrixStatsPhysioExperimentrlangS4ArraysS4VectorsSeqinfoSparseArraySummarizedExperimentXVector