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TSVC  

Tree-Structured Modelling of Varying Coefficients
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("TSVC", "1.5.3")



Attach the package and use:
library("TSVC")
Maintained by
Moritz Berger
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-02-26
Latest Update: 2022-03-02
Description:
Fitting tree-structured varying coefficient models (Berger et al. (2019), <doi:10.1007/s11222-018-9804-8>). Simultaneous detection of covariates with varying coefficients and effect modifiers that induce varying coefficients if they are present.
How to cite:
Moritz Berger (2018). TSVC: Tree-Structured Modelling of Varying Coefficients. R package version 1.5.3, https://cran.r-project.org/web/packages/TSVC. Accessed 21 Nov. 2024.
Previous versions and publish date:
1.0.0 (2018-02-26 19:36), 1.2.0 (2019-01-14 11:30), 1.2.1 (2020-06-05 17:40), 1.2.2 (2022-03-02 18:00)
Other packages that cited TSVC R package
View TSVC citation profile
Other R packages that TSVC depends, imports, suggests or enhances
Complete documentation for TSVC
Functions, R codes and Examples using the TSVC R package
Some associated functions: TSVC . plot.TSVC . predict.TSVC . summary.TSVC . 
Some associated R codes: TSVC.R . TSVC.default.R . effmodTree.R . functions.R . info_summary.R . plot.TSVC.R . predict.TSVC.R . prepare_exclude.R . prepare_factor.R . ptree.R . specification.R . summary.TSVC.R .  Full TSVC package functions and examples
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