Package: PROreg 1.3.3
PROreg: Patient Reported Outcomes Regression Analysis
It offers a wide variety of techniques, such as graphics, recoding, or regression models, for a comprehensive analysis of patient-reported outcomes (PRO). Especially novel is the broad range of regression models based on the beta-binomial distribution useful for analyzing binomial data with over-dispersion in cross-sectional, longitudinal, or multidimensional response studies (see Najera-Zuloaga J., Lee D.-J. and Arostegui I. (2019) <doi:10.1002/bimj.201700251>).
Authors:
PROreg_1.3.3.tar.gz
PROreg_1.3.3.zip(r-4.7-any)PROreg_1.3.3.zip(r-4.6-any)PROreg_1.3.3.zip(r-4.5-any)
PROreg_1.3.3.tgz(r-4.6-any)PROreg_1.3.3.tgz(r-4.5-any)
PROreg_1.3.3.tar.gz(r-4.7-any)PROreg_1.3.3.tar.gz(r-4.6-any)
PROreg_1.3.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
PROreg/json (API)
| # Install 'PROreg' in R: |
| install.packages('PROreg', repos = c('https://najerazuloaga.r-universe.dev', 'https://cloud.r-project.org')) |
- EDpro - Eating Disorders patient-reported outcome data.
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:accc5b87bf. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 151 | ||
| source / vignettes | OK | 326 | ||
| linux-release | OK | 167 | ||
| macos-release | OK | 205 | ||
| macos-oldrel | OK | 198 | ||
| windows-devel | OK | 94 | ||
| windows-release | OK | 97 | ||
| windows-oldrel | OK | 162 | ||
| wasm-release | OK | 171 |
Exports:BBestBBmmBBregBIestdBBdBIHRQoLplotprint.BBestprint.BBmmprint.BBregprint.summary.BBestprint.summary.BBmmprint.summary.BBregrBBrBISF36recsummary.BBestsummary.BBmmsummary.BBreg
Dependencies:abindbackportsbootbroomcarcarDataclicolorspacecowplotcpp11DerivdoBydplyrfarverfmsbforecastFormulafracdiffgenericsggplot2gluegtableisobandlabelinglatticelifecyclelme4lmtestmagrittrMASSMatrixmatrixcalcMatrixModelsmgcvminqamodelrnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpurrrquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangrootSolveS7scalesSparseMstringistringrsurvivaltibbletidyrtidyselecttimeDateurcautf8vctrsviridisLitewithrzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| The Beta-Binomial Distribution | dBB rBB |
| Estimation of the parameters of a beta-binomial distribution | BBest |
| Beta-binomial mixed-effects model | BBmm |
| Fit a beta-binomial logistic regression model | BBreg |
| The Binomial distribution with optional Dispersion Parameter | dBI rBI |
| Estimation of the parameters of a binomial distribution with optional dispersion parameter. | BIest |
| Eating Disorders patient-reported outcome data. | EDpro |
| Spider plot of the dimensions of the Short Form-36 Health Survey | HRQoLplot |
| Print a BBest class model. | print.BBest |
| Print a BBmm class model. | print.BBmm |
| Print a BBreg class model. | print.BBreg |
| Print a summary.BBest class model. | print.summary.BBest |
| Print a summary.BBmm class model. | print.summary.BBmm |
| Print a summary.BBreg class model. | print.summary.BBreg |
| Short Form-36 Health Survey recode | SF36rec |
| Summarizes a BBest class model. | summary.BBest |
| Summarizes a BBmm class model. | summary.BBmm |
| Summarizes a BBreg class model. | summary.BBreg |