Function reference • CPOP

All functions
`panel_cor()` `panel_idenDist()` `panel_scatter_abline()` `panel_scatter_abline_smallDots()` `panel_scatter_abhvline()` `panel_scatter_smallDots_abhvline()`	A better pairs plot function
`boxplot_tbl()`	Make a simple boxplot plotting tbl
`coef_repeat()`	Coefficient of repeatability
`cpop_data_binary`	A simulated binary data
`cpop1()` `cpop1_iterate()` `cpop2_sign()` `cpop2_mag()` `cpop3()`	CPOP internal functions
`cpop_model()`	CPOP modelling
`plot_lratio_network()` `lratio_to_network()` `mst_lratio()`	Plot a ratio network
`get_lasso_coef()`	Get cv.glmnet coefficient as a matrix or a tibble
`identity_dist()` `identity_dist_matrix()` `calcIdenDist()` `identityDist()`	Identity distance between two vectors
`impute_cpop()`	Imputing gene expression values using CPOP model
`logit()` `expit()`	The logit function
`naive_glmnet()`	Naive glmnet fitting procedure
`pairwise_col_diff()`	Compute pairwise difference between matrix columns
`colmeans_penalty()` `p_transform()` `tstat_penalty()` `ks_penalty()`	Compute feature-wise absolute difference penalty
`plot_cpop()`	Plot cpop coefficients
`predict_cpop()`	Prediction function for CPOP
`predict_naive_glmnet()`	Prediction method for naive glmnet
`prep_cpop()`	Preparation for CPOP modelling

Reference