# Joint Feature Screening via Sparse MLE

## Documentation for package ‘SMLE’ version 2.2-3

- DESCRIPTION file
- User guides, package vignettes and other documentation

## Help Pages

SMLE-package | Joint SMLE-screening for generalized linear models
coef.selection | Extract coefficients from fitted model
coef.smle | Extract coefficients from fitted model
Gen_Data | Data simulator for high-dimensional GLMs
logLik.selection | Extract log-likelihood
logLik.smle | Extract log-likelihood
plot.selection | Plots to visualize the post-screening selection
plot.smle | Plots to visualize SMLE screening
predict.selection | Prediction based on SMLE screening and selection
predict.smle | Prediction based on SMLE screening and selection
print.sdata | Print an object
print.selection | Print an object
print.smle | Print an object
print.summary.selection | Print an object
print.summary.smle | Print an object
pvals | p values of synthetic genetic association study data set
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 post-screening selection with SMLE
smle_select.default | Elaborative post-screening selection with SMLE
smle_select.sdata | Elaborative post-screening selection with SMLE
smle_select.smle | Elaborative post-screening selection with SMLE
summary.selection | Summarize SMLE-screening and selection
summary.smle | Summarize SMLE-screening and selection
synSNP | Synthetic genetic association study data set
vote_update | Extract and adjust voting from SMLE selection
vote_update.selection | Extract and adjust voting from SMLE selection