# Differential Composition and Variability Analysis for Single-Cell Data

## Documentation for package ‘sccomp’ version 2.2.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

clear_stan_model_cache | Clear Stan Model Cache
counts_obj | counts_obj
handle_missing_values | Handle missing values in a data frame
no_significance_df | no_significance_df
plot.sccomp_tbl | plot
plot_1D_intervals | Plot 1D Intervals for Cell-group Effects
plot_2D_intervals | Plot 2D Intervals for Mean-Variance Association
plot_scatterplot | Plot Scatterplot of Cell-group Proportion
print.sccomp_tbl | Print method for sccomp objects
sccomp_boxplot | sccomp_boxplot
sccomp_calculate_residuals | Calculate Residuals Between Observed and Predicted Proportions
sccomp_estimate | Main Function for SCCOMP Estimate
sccomp_predict | sccomp_predict
sccomp_proportional_fold_change | Calculate Proportional Fold Change from sccomp Estimated Effects
sccomp_remove_outliers | sccomp_remove_outliers main
sccomp_remove_unwanted_effects | Remove unwanted effects from a sccomp_tbl object
sccomp_remove_unwanted_variation | DEPRECATED: Remove Unwanted Variation from sccomp Estimates
sccomp_replicate | sccomp_replicate
sccomp_stan_models_cache_dir | Default cache directory for Stan models
sccomp_test | sccomp_test
sccomp_theme | Create a multipanel theme compatible with ggplot2 4.0.0 S7 system
sce_obj | sce_obj
seurat_obj | seurat_obj
simulate_data | simulate_data