Joint Feature Screening via Sparse MLE

Documentation for package ‘SMLE’ version 2.1-1

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