https://github.com/adibender/pammtools
Piece-wise exponential Additive Mixed Modeling tools
https://github.com/adibender/pammtools
additive-models pamm pammtools piece-wise-exponential r rstats survival-analysis
Last synced: 10 days ago
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Piece-wise exponential Additive Mixed Modeling tools
- Host: GitHub
- URL: https://github.com/adibender/pammtools
- Owner: adibender
- License: other
- Created: 2017-10-09T08:55:47.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2025-03-24T14:09:47.000Z (21 days ago)
- Last Synced: 2025-04-04T16:49:46.223Z (10 days ago)
- Topics: additive-models, pamm, pammtools, piece-wise-exponential, r, rstats, survival-analysis
- Language: R
- Homepage: https://adibender.github.io/pammtools/
- Size: 109 MB
- Stars: 48
- Watchers: 4
- Forks: 10
- Open Issues: 19
-
Metadata Files:
- Readme: README.Rmd
- Changelog: NEWS.md
- License: LICENSE
Awesome Lists containing this project
- jimsghstars - adibender/pammtools - Piece-wise exponential Additive Mixed Modeling tools (R)
README
---
output: github_document
---```{r options, echo = FALSE}
library(knitr)
opts_chunk$set(warning = FALSE)
```[](https://github.com/adibender/pammtools/actions)
[](https://cran.r-project.org/web/checks/check_results_pammtools.html)
[](https://lifecycle.r-lib.org/articles/stages.html)
[](https://app.codecov.io/github/adibender/pammtools/branch/master)
[](https://cran.r-project.org/package=pammtools)
[](https://cran.r-project.org/package=pammtools)
[]( https://opensource.org/license/mit)# **`pammtools`**: Piece-Wise Exponential Additive Mixed Modeling Tools
### Installation
Install from CRAN or GitHub using:
```{r eval = FALSE}
# CRAN
install.packages("pammtools")
# Development version
remotes::install_github("adibender/pammtools")
```### Overview
**`pammtools`** facilitates the estimation of Piece-wise exponential Additive Mixed Models (PAMMs) for time-to-event data. PAMMs can be represented as generalized additive models and can therefore be estimated using GAM software (e.g. **`mgcv`**), which, compared to other packages for survival analysis, often offers more flexibility w.r.t. to the specification of covariate effects (e.g. non-linear, time-varying effects, cumulative effects, etc.). The package supports single-event analysis, left-truncation, recurrent events, competing risks and multi-state models.To get started, see the [Articles](https://adibender.github.io/pammtools/articles/) section.