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tramvs (version 0.0-8)

Optimal Subset Selection for Transformation Models

Description

Greedy optimal subset selection for transformation models (Hothorn et al., 2018, ) based on the abess algorithm (Zhu et al., 2020, ). Applicable to models from packages 'tram' and 'cotram'. Application to shift-scale transformation models are described in Siegfried et al. (2024, ).

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Version

Install

install.packages('tramvs')

Monthly Downloads

467

Version

0.0-8

License

GPL-3

Maintainer

Lucas Kook

Last Published

November 18th, 2025

Functions in tramvs (0.0-8)

cotramVS

Optimal subset selection in a cotram model
print.tramvs

Print "tramvs"
plot.tramvs

Plot "tramvs" object
residuals.tramvs

Residuals "tramvs"
logLik.tramvs

logLik "tramvs"
predict.tramvs

Predict "tramvs"
mmltVS

Select optimal subset based on high dimensional BIC in mmlts
support.tramvs

Support "tramvs"
simulate.tramvs

Simulate "tramvs"
tramvs

Select optimal subset based on high dimensional BIC
summary.tramvs

Summary "tramvs"
PolrVS

Optimal subset selection in a Polr-type transformation model
LmVS

Optimal subset selection in an Lm-type transformation model
LehmannVS

Optimal subset selection in a Lehmann-type transformation model
ColrVS

Optimal subset selection in a Colr-type transformation model
SIC

SIC generic
CoxphVS

Optimal subset selection in a Coxph-type transformation model
SIC.tramvs

SIC "tramvs"
AIC.tramvs

AIC "tramvs"
BoxCoxVS

Optimal subset selection in a BoxCox-type transformation model
SurvregVS

Optimal subset selection in a Survreg model
coef.mmltvs

Coef "mmltvs"
coef.abess_tram

Coef "abess_tram"
abess_mmlt

Optimal subset selection for multivariate transformation models
abess_tram

Optimal subset selection for transformation models
cor_init.stram

Shit-scale tram method for computing correlation
coef.tramvs

Coef "tramvs"
cor_init.mmlt

Method for computing correlations in mmlts
cor_init.default

Default method for computing correlation
cor_init

Compute correlation for initializing the active set