| abess_mmlt | Optimal subset selection for multivariate transformation models |
| abess_tram | Optimal subset selection for transformation models |
| AIC.tramvs | AIC "tramvs" |
| BoxCoxVS | Optimal subset selection in a BoxCox-type transformation model |
| coef.abess_tram | Coef "abess_tram" |
| coef.mmltvs | Coef "mmltvs" |
| coef.tramvs | Coef "tramvs" |
| ColrVS | Optimal subset selection in a Colr-type transformation model |
| cor_init | Compute correlation for initializing the active set |
| cor_init.default | Default method for computing correlation |
| cor_init.mmlt | Method for computing correlations in mmlts |
| cor_init.stram | Shit-scale tram method for computing correlation |
| cotramVS | Optimal subset selection in a cotram model |
| CoxphVS | Optimal subset selection in a Coxph-type transformation model |
| LehmannVS | Optimal subset selection in a Lehmann-type transformation model |
| LmVS | Optimal subset selection in an Lm-type transformation model |
| logLik.tramvs | logLik "tramvs" |
| mmltVS | Select optimal subset based on high dimensional BIC in mmlts |
| plot.tramvs | Plot "tramvs" object |
| PolrVS | Optimal subset selection in a Polr-type transformation model |
| predict.tramvs | Predict "tramvs" |
| print.tramvs | Print "tramvs" |
| residuals.tramvs | Residuals "tramvs" |
| SIC | SIC generic |
| SIC.tramvs | SIC "tramvs" |
| simulate.tramvs | Simulate "tramvs" |
| summary.tramvs | Summary "tramvs" |
| support.tramvs | Support "tramvs" |
| SurvregVS | Optimal subset selection in a Survreg model |
| tramvs | Select optimal subset based on high dimensional BIC |