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 |