Package: mpr 1.0.6
Kevin Burke
mpr: Multi-Parameter Regression (MPR)
Fitting Multi-Parameter Regression (MPR) models to right-censored survival data. These are flexible parametric regression models which extend standard models, for example, proportional hazards. See Burke & MacKenzie (2016) <doi:10.1111/biom.12625> and Burke et al (2020) <doi:10.1111/rssc.12398>.
Authors:
mpr_1.0.6.tar.gz
mpr_1.0.6.tar.gz(r-4.5-noble)mpr_1.0.6.tar.gz(r-4.4-noble)
mpr_1.0.6.tgz(r-4.4-emscripten)mpr_1.0.6.tgz(r-4.3-emscripten)
mpr.pdf |mpr.html✨
mpr/json (API)
| # Install 'mpr' in R: |
| install.packages('mpr', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:2f6188dc0a. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 31 2024 |
| R-4.5-linux | OK | Oct 31 2024 |
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| All Possible Single-Term Additions to / Deletions from a Multi-Parameter Regression (MPR) Model | addterm dropterm |
| Distributions in the 'mpr' Package | Burr Distribution distribution Distributions distributions family Gompertz Loglogistic mprdists PGW TDL Weibull WeibullAFT |
| Fitting a Multi-Parameter Regression (MPR) model. | mpr print.mpr |
| Predict method for Multi-Parameter Regression (MPR) Fits | predict.mpr |
| Stepwise Selection Procedure for Multi-Parameter Regression (MPR) Models | stepmpr |
| Summarising Multi-Parameter Regression (MPR) Fits | overallpval print.summary.mpr summary.mpr |
| Update and Re-fit a Multi-Parameter Regression (MPR) Model Call | update.mpr |