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tramvs  

Optimal Subset Selection for Transformation Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("tramvs", "0.0-7")



Attach the package and use:
library("tramvs")
Maintained by
Lucas Kook
[Scholar Profile | Author Map]
First Published: 2022-07-16
Latest Update: 2023-03-10
Description:
Greedy optimal subset selection for transformation models (Hothorn et al., 2018, <doi:10.1111/sjos.12291> ) based on the abess algorithm (Zhu et al., 2020, <doi:10.1073/pnas.2014241117> ). Applicable to models from packages 'tram' and 'cotram'.
How to cite:
Lucas Kook (2022). tramvs: Optimal Subset Selection for Transformation Models. R package version 0.0-7, https://cran.r-project.org/web/packages/tramvs. Accessed 08 May. 2025.
Previous versions and publish date:
0.0-1 (2022-07-16 11:10), 0.0-2 (2022-08-22 11:20), 0.0-3 (2022-11-11 17:00), 0.0-4 (2023-03-10 15:20), 0.0-6 (2024-09-04 15:50)
Other packages that cited tramvs R package
View tramvs citation profile
Other R packages that tramvs depends, imports, suggests or enhances
Complete documentation for tramvs
Functions, R codes and Examples using the tramvs R package
Some associated functions: AIC.tramvs . BoxCoxVS . ColrVS . CoxphVS . LehmannVS . LmVS . PolrVS . SIC . SIC.tramvs . SurvregVS . abess_tram . coef.abess_tram . coef.tramvs . cor_init.default . cor_init . cor_init.stram . cotramVS . logLik.tramvs . plot.tramvs . predict.tramvs . print.tramvs . residuals.tramvs . simulate.tramvs . summary.tramvs . support.tramvs . tramvs . 
Some associated R codes: methods.R . models.R . tramvs.R .  Full tramvs package functions and examples
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