smle-package | Joint SMLE-screening for generalized linear models |
coef.selection | Extract coefficient from fitted model |
coef.smle | Extract coefficient from fitted model |
Gen_Data | Data simulator for high-dimensional |
logLik.selection | Extract log-likelihood |
logLik.smle | Extract log-likelihood |
plot.selection | Plots to visualize the selection |
plot.smle | Plots to visualize the SMLE screening step |
predict.selection | Prediction based on SMLE screening and selection |
predict.smle | Prediction based on SMLE screening and selection |
print.sdata | Print a SMLE object |
print.selection | Print a SMLE object |
print.smle | Print a SMLE object |
print.summary.smle | Print a SMLE object |
SMLE | Joint feature screening via sparse maximum likelihood estimation for GLMs |
SMLE.default | Joint feature screening via sparse maximum likelihood estimation for GLMs |
SMLE.formula | Joint feature screening via sparse maximum likelihood estimation for GLMs |
smle_select | Elaborative feature selection with SMLE |
smle_select.default | Elaborative feature selection with SMLE |
smle_select.sdata | Elaborative feature selection with SMLE |
smle_select.smle | Elaborative feature selection with SMLE |
summary.selection | summary a SMLE object from SMLE |
summary.smle | summary a SMLE object from SMLE |