Group-Based Multivariate Trajectory Modeling
Overview
Estimation and analysis of group-based multivariate trajectory models (Nagin, 2018 doi:10.1177/0962280216673085; Magrini, 2022 doi:10.1007/s10182-022-00437-9). The package implements an Expectation-Maximization (EM) algorithm allowing unbalanced panel and missing values, and provides several functionalities for prediction and graphical representation.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 8includes a package overview page
- Examples that run
- 100%4 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 100%
Downloads
Dependencies
Installing gbmt adds no packages beyond those that come with R.
Code & Tests
Datasets
People & History
Package metadata
- First published
- 2021-11-23
- Total releases
- 4 / 5 yrs
- License
- GPL-2 OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 47 KB / 3 files
- Download size
- 68 KB
Cite
Cite this package
Run in R for the authors' entry:
citation("gbmt")The package provides a citation file, so citation() returns the authors' own entry.
It points to 10.1007/s10182-022-00437-9.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.