R: Uncertainty-aware quantitative analysis of high-throughput live cell migration data

# Uncertainty-aware quantitative analysis of high-throughput live cell migration data

## Documentation for package ‘cellmig’ version 1.2.0

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

## Help Pages

cellmig-package | cellmig: quantifying cell migration soeed with hierarchical Bayesian models
cellmig | Model-based quantification of cell migration speed
d | Example dataset 'd'
d_mini | Example dataset 'd'
gen_full | Simulate data from a fully generative hierarchical Bayesian model
gen_partial | Simulate data from a partially generative hierarchical Bayesian model
get_dose_response_profile | Visualization of dose-response profiles
get_groups | Extract group labels
get_pairs | Pairwise comparison of treatment effects on cell migration speed
get_ppc_means | Observed vs. predicted cell migration means in each well
get_ppc_violins | Posterior Predictive Checks (PPC) Visualization
get_violins | Generate violin plots for treatment group comparisons