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SLTCA  

Scalable and Robust Latent Trajectory Class Analysis
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("SLTCA", "0.1.0")



Attach the package and use:
library("SLTCA")
Maintained by
Teng Fei
[Scholar Profile | Author Map]
First Published: 2020-09-23
Latest Update: 2020-09-23
Description:
Conduct latent trajectory class analysis with longitudinal data. Our method supports longitudinal continuous, binary and count data. For more methodological details, please refer to Hart, K.R., Fei, T. and Hanfelt, J.J. (2020), Scalable and robust latent trajectory class analysis using artificial likelihood. Biometrics <doi:10.1111/biom.13366>.
How to cite:
Teng Fei (2020). SLTCA: Scalable and Robust Latent Trajectory Class Analysis. R package version 0.1.0, https://cran.r-project.org/web/packages/SLTCA. Accessed 21 Apr. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited SLTCA R package
View SLTCA citation profile
Other R packages that SLTCA depends, imports, suggests or enhances
Complete documentation for SLTCA
Functions, R codes and Examples using the SLTCA R package
Some associated functions: SLTCA . simulation . 
Some associated R codes: pointest.R .  Full SLTCA package functions and examples
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