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gbmt: Group-Based Multivariate Trajectory Modeling

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.

Version: 0.1.4
Depends: R (≥ 3.5.0), Matrix
Imports: methods
Published: 2024-12-02
DOI: 10.32614/CRAN.package.gbmt
Author: Alessandro Magrini [aut, cre]
Maintainer: Alessandro Magrini <alessandro.magrini at unifi.it>
License: GPL-2
NeedsCompilation: no
Citation: gbmt citation info
Materials: ChangeLog
In views: MissingData
CRAN checks: gbmt results

Documentation:

Reference manual: gbmt.pdf

Downloads:

Package source: gbmt_0.1.4.tar.gz
Windows binaries: r-devel: gbmt_0.1.4.zip, r-release: gbmt_0.1.4.zip, r-oldrel: gbmt_0.1.4.zip
macOS binaries: r-release (arm64): gbmt_0.1.4.tgz, r-oldrel (arm64): gbmt_0.1.4.tgz, r-release (x86_64): gbmt_0.1.4.tgz, r-oldrel (x86_64): gbmt_0.1.4.tgz
Old sources: gbmt archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.