NetHet-package          NetHet-package
aggpval                 Meinshausen p-value aggregation
bwprun_mixglasso        bwprun_mixglasso
diffnet_multisplit      Differential Network
diffnet_singlesplit     Differential Network for user specified data
                        splits
diffregr_multisplit     Differential Regression (multi-split version).
diffregr_pval           Computation "split-asym" p-values.
diffregr_singlesplit    Differential Regression (single-split version).
dot_plot                Create a plot showing the edges with the
                        highest partial correlation in any cluster.
export_network          Export networks as a CSV table.
generate_2networks      Generate sparse invcov with overlap
generate_inv_cov        generate_inv_cov
ggmgsa_multisplit       Multi-split GGMGSA (parallelized computation)
ggmgsa_singlesplit      Single-split GGMGSA
gsea.iriz               Irizarry approach for gene-set testing
het_cv_glasso           Cross-validated glasso on heterogeneous dataset
                        with grouping
invcov2parcor           Convert inverse covariance to partial
                        correlation
invcov2parcor_array     Convert inverse covariance to partial
                        correlation for several inverse covariance
                        matrices collected in an array.
logratio                Log-likelihood-ratio statistics used in DiffNet
mixglasso               mixglasso
mixglasso_init          mixglasso_init
plot.diffnet            Plotting function for object of class 'diffnet'
plot.diffregr           Plotting function for object of class
                        'diffregr'
plot.ggmgsa             Plotting function for object of class 'ggmgmsa'
plot.nethetclustering   Plot networks
plot_2networks          Plot two networks (GGMs)
print.nethetsummary     Print function for object of class
                        'nethetsummmary'
scatter_plot            Create a scatterplot showing correlation
                        between specific nodes in the network for each
                        pre-specified group.
screen_aic.glasso       AIC-tuned glasso with additional thresholding
screen_bic.glasso       BIC-tuned glasso with additional thresholding
screen_cv.glasso        Cross-validated glasso with additional
                        thresholding
screen_cv1se.lasso      Cross-validated Lasso screening
                        (lambda.1se-rule)
screen_cvfix.lasso      Cross-validated Lasso screening and upper bound
                        on number of predictors.
screen_cvmin.lasso      Cross-validation lasso screening
                        (lambda.min-rule)
screen_cvsqrt.lasso     Cross-validated Lasso screening and
                        sqrt-truncation.
screen_cvtrunc.lasso    Cross-validated Lasso screening and additional
                        truncation.
screen_mb               Node-wise Lasso-regressions for GGM estimation
sim_mix                 Simulate from mixture model.
sim_mix_networks        sim_mix_networks
summary.diffnet         Summary function for object of class 'diffnet'
summary.diffregr        Summary function for object of class 'diffregr'
summary.ggmgsa          Summary function for object of class 'ggmgsa'
summary.nethetclustering
                        Summary function for object of class
                        'nethetclustering'
