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gbmt  

Group-Based Multivariate Trajectory Modeling
View on CRAN: Click here


Download and install gbmt package within the R console
Install from CRAN:
install.packages("gbmt")

Install from Github:
library("remotes")
install_github("cran/gbmt")

Install by package version:
library("remotes")
install_version("gbmt", "0.1.3")



Attach the package and use:
library("gbmt")
Maintained by
Alessandro Magrini
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-11-23
Latest Update: 2022-03-05
Description:
Estimation and analysis of group-based multivariate trajectory models (Nagin, 2018 ; Magrini, 2022 ). The package implements an Expectation-Maximization (EM) algorithm allowing unbalanced panel and missing values, and provides several functionalities for prediction and graphical representation.
How to cite:
Alessandro Magrini (2021). gbmt: Group-Based Multivariate Trajectory Modeling. R package version 0.1.3, https://cran.r-project.org/web/packages/gbmt. Accessed 21 Nov. 2024.
Previous versions and publish date:
0.1.1 (2021-11-23 20:30), 0.1.2 (2021-11-24 10:30)
Other packages that cited gbmt R package
View gbmt citation profile
Other R packages that gbmt depends, imports, suggests or enhances
Complete documentation for gbmt
Functions, R codes and Examples using the gbmt R package
Some associated functions: agrisus . agrisus2 . gbmt-package . gbmt . plot.gbmt . posterior . predict.gbmt . 
Some associated R codes: gbmt.R .  Full gbmt package functions and examples
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