# A General Algorithm to Enhance the Performance of Variable Selection Methods in Correlated Datasets

## Documentation for package ‘SelectBoost’ version 2.3.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Code demos. Use demo() to run them.
- Package NEWS.

## Help Pages

A B C E F G L M N P R S T V

## -- A --

AICc_BIC_glmnetB | AICc and BIC for glmnet logistic models
AICc_glmnetB | AICc and BIC for glmnet logistic models
alasso_enet_msgps_all | Variable selection functions (all)
alasso_msgps_all | Variable selection functions (all)
auto.analyze | Find limits for selectboost analysis
auto.analyze.selectboost | Find limits for selectboost analysis
autoboost | Autoboost
autoboost.res.x | Autoboost lasso diabetes first order.
autoboost.res.x.adapt | Autoboost adaptative lasso diabetes first order.
autoboost.res.x2 | Autoboost lasso diabetes second order.
autoboost.res.x2.adapt | Autoboost adaptative lasso diabetes second order.

## -- B --

BIC_glmnetB | AICc and BIC for glmnet logistic models
boost | Boost step by step functions
boost.adjust | Boost step by step functions
boost.apply | Boost step by step functions
boost.compcorrs | Boost step by step functions
boost.correlation_sign | Boost step by step functions
boost.findgroups | Boost step by step functions
boost.normalize | Boost step by step functions
boost.random | Boost step by step functions
boost.select | Boost step by step functions
boost.Xpass | Boost step by step functions

## -- C --

Cascade_confidence | Confidence indices
Cascade_example | Simulated Cascade network and inference
compsim | Miscellaneous simulation functions
compsim.simuls | Miscellaneous simulation functions

## -- E --

enetf_msgps_AICc | Variable selection functions
enetf_msgps_BIC | Variable selection functions
enetf_msgps_Cp | Variable selection functions
enetf_msgps_GCV | Variable selection functions
enet_msgps_all | Variable selection functions (all)

## -- F --

fastboost | Fastboost
fastboost.res.x | Fastboost lasso diabetes first order.
fastboost.res.x.adapt | Fastboost adaptative lasso diabetes first order.
fastboost.res.x2 | Fastboost lasso diabetes second order.
fastboost.res.x2.adapt | Fastboost adaptative lasso diabetes second order.
force.non.inc | Non increasing post processinng step for selectboost analysis
F_score_C | Simulations for reverse-engineering
F_score_PB | Simulations for reverse-engineering
F_score_PB_075_075 | Simulations for reverse-engineering
F_score_PB_095_075 | Simulations for reverse-engineering
F_score_PB_W | Simulations for reverse-engineering
F_score_PL | Simulations for reverse-engineering
F_score_PL2 | Simulations for reverse-engineering
F_score_PL2_tW | Simulations for reverse-engineering
F_score_PL2_W | Simulations for reverse-engineering
F_score_PSel | Simulations for reverse-engineering
F_score_PSel.5 | Simulations for reverse-engineering
F_score_PSel.5.e2 | Simulations for reverse-engineering
F_score_PSel.e2 | Simulations for reverse-engineering
F_score_PSel_W | Simulations for reverse-engineering
F_score_robust | Simulations for reverse-engineering

## -- G --

group_func_1 | Generate groups by thresholding.
group_func_2 | Generate groups using community analysis.

## -- L --

lasso_cascade | Variable selection functions
lasso_cv_glmnet_1se | Variable selection functions
lasso_cv_glmnet_1se_weighted | Variable selection functions
lasso_cv_glmnet_all_5f | Variable selection functions (all)
lasso_cv_glmnet_bin_1se | Variable selection functions
lasso_cv_glmnet_bin_all | Variable selection functions (all)
lasso_cv_glmnet_bin_min | Variable selection functions
lasso_cv_glmnet_min | Variable selection functions
lasso_cv_glmnet_min_weighted | Variable selection functions
lasso_cv_lars_1se | Variable selection functions
lasso_cv_lars_min | Variable selection functions
lasso_glmnet_bin_AICc | Variable selection functions
lasso_glmnet_bin_all | Variable selection functions (all)
lasso_glmnet_bin_BIC | Variable selection functions
lasso_msgps_AICc | Variable selection functions
lasso_msgps_all | Variable selection functions (all)
lasso_msgps_BIC | Variable selection functions
lasso_msgps_Cp | Variable selection functions
lasso_msgps_GCV | Variable selection functions

## -- M --

M | Simulated Cascade network and inference
miscplot | Miscellaneous plot functions

## -- N --

Net | Simulated Cascade network and inference
network.confidence-class | Network confidence class.
net_confidence | Confidence indices
net_confidence_.5 | Confidence indices
net_confidence_thr | Confidence indices
Net_inf_C | Simulated Cascade network and inference
nv_C | Simulations for reverse-engineering
nv_PB | Simulations for reverse-engineering
nv_PB_075_075 | Simulations for reverse-engineering
nv_PB_095_075 | Simulations for reverse-engineering
nv_PB_W | Simulations for reverse-engineering
nv_PL | Simulations for reverse-engineering
nv_PL2 | Simulations for reverse-engineering
nv_PL2_tW | Simulations for reverse-engineering
nv_PL2_W | Simulations for reverse-engineering
nv_PSel | Simulations for reverse-engineering
nv_PSel.5 | Simulations for reverse-engineering
nv_PSel.5.e2 | Simulations for reverse-engineering
nv_PSel.e2 | Simulations for reverse-engineering
nv_PSel_W | Simulations for reverse-engineering
nv_robust | Simulations for reverse-engineering

## -- P --

plot-method | plot_Selectboost_cascade
plot.matrix | Miscellaneous plot functions
plot.selectboost | Plot selectboost object
plot.summary.selectboost | Plot a summary of selectboost results
plot_selectboost_cascade | plot_Selectboost_cascade
predictive_positive_value_C | Simulations for reverse-engineering
predictive_positive_value_PB | Simulations for reverse-engineering
predictive_positive_value_PB_075_075 | Simulations for reverse-engineering
predictive_positive_value_PB_095_075 | Simulations for reverse-engineering
predictive_positive_value_PB_W | Simulations for reverse-engineering
predictive_positive_value_PL | Simulations for reverse-engineering
predictive_positive_value_PL2 | Simulations for reverse-engineering
predictive_positive_value_PL2_tW | Simulations for reverse-engineering
predictive_positive_value_PL2_W | Simulations for reverse-engineering
predictive_positive_value_PSel | Simulations for reverse-engineering
predictive_positive_value_PSel.5 | Simulations for reverse-engineering
predictive_positive_value_PSel.5.e2 | Simulations for reverse-engineering
predictive_positive_value_PSel.e2 | Simulations for reverse-engineering
predictive_positive_value_PSel_W | Simulations for reverse-engineering
predictive_positive_value_robust | Simulations for reverse-engineering

## -- R --

rerr | AICc and BIC for glmnet logistic models
results_simuls_reverse_engineering_v3 | Simulations for reverse-engineering
ridge_logistic | AICc and BIC for glmnet logistic models

## -- S --

selectboost | Selectboost_cascade
selectboost-method | Selectboost_cascade
selectboost_cascade | Selectboost_cascade
sensitivity_C | Simulations for reverse-engineering
sensitivity_PB | Simulations for reverse-engineering
sensitivity_PB_075_075 | Simulations for reverse-engineering
sensitivity_PB_095_075 | Simulations for reverse-engineering
sensitivity_PB_W | Simulations for reverse-engineering
sensitivity_PL | Simulations for reverse-engineering
sensitivity_PL2 | Simulations for reverse-engineering
sensitivity_PL2_tW | Simulations for reverse-engineering
sensitivity_PL2_W | Simulations for reverse-engineering
sensitivity_PSel | Simulations for reverse-engineering
sensitivity_PSel.5 | Simulations for reverse-engineering
sensitivity_PSel.5.e2 | Simulations for reverse-engineering
sensitivity_PSel.e2 | Simulations for reverse-engineering
sensitivity_PSel_W | Simulations for reverse-engineering
sensitivity_robust | Simulations for reverse-engineering
sgpls_spls_all | Variable selection functions (all)
simulation | Miscellaneous simulation functions
simulation_cor | Miscellaneous simulation functions
simulation_DATA | Miscellaneous simulation functions
simulation_X | Miscellaneous simulation functions
splsda_spls_all | Variable selection functions (all)
spls_spls_all | Variable selection functions (all)
summary.selectboost | Summarize a selectboost analysis

## -- T --

test.seq_C | Simulations for reverse-engineering
test.seq_PB | Simulations for reverse-engineering
test.seq_PB_075_075 | Simulations for reverse-engineering
test.seq_PB_095_075 | Simulations for reverse-engineering
test.seq_PB_W | Simulations for reverse-engineering
test.seq_PL | Simulations for reverse-engineering
test.seq_PL2 | Simulations for reverse-engineering
test.seq_PL2_tW | Simulations for reverse-engineering
test.seq_PL2_W | Simulations for reverse-engineering
test.seq_PSel | Simulations for reverse-engineering
test.seq_PSel.5 | Simulations for reverse-engineering
test.seq_PSel.5.e2 | Simulations for reverse-engineering
test.seq_PSel.e2 | Simulations for reverse-engineering
test.seq_PSel_W | Simulations for reverse-engineering
test.seq_robust | Simulations for reverse-engineering
trajC0 | Plot trajectories
trajC0.selectboost | Plot trajectories

## -- V --

varbvs_binomial_all | Variable selection functions (all)
varbvs_linear_all | Variable selection functions (all)
var_select | Variable selection functions
var_select_all | Variable selection functions (all)