Package: PROreg 1.3
Josu Najera-Zuloaga
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.tar.gz
PROreg_1.3.tar.gz(r-4.5-noble)PROreg_1.3.tar.gz(r-4.4-noble)
PROreg_1.3.tgz(r-4.4-emscripten)PROreg_1.3.tgz(r-4.3-emscripten)
PROreg.pdf |PROreg.html✨
PROreg/json (API)
# Install 'PROreg' in R: |
install.packages('PROreg', repos = c('https://cran.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 8 months agofrom:2d5096df4e. Checks:OK: 1 NOTE: 1. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 10 2024 |
R-4.5-linux | NOTE | Oct 10 2024 |
Exports:BBestBBmmBBregBIestdBBdBIHRQoLplotprint.BBestprint.BBmmprint.BBregprint.summary.BBestprint.summary.BBmmprint.summary.BBregrBBrBISF36recsummary.BBestsummary.BBmmsummary.BBreg
Dependencies:abindbackportsbootbroomcarcarDataclicolorspacecowplotcpp11DerivdoBydplyrfansifarverfmsbFormulagenericsggplot2gluegtableisobandlabelinglatticelifecyclelme4magrittrMASSMatrixmatrixcalcMatrixModelsmgcvmicrobenchmarkminqamodelrmunsellnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpurrrquantregR6RColorBrewerRcppRcppEigenrlangrootSolvescalesSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithr
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 |