# Bayesian modelling of cell-to-cell DNA methylation heterogeneity

## Documentation for package ‘scMET’ version 1.15.0

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

## Help Pages

scMET-package | 'scMET': Bayesian modelling of DNA methylation at single-cell resolution.
bb_mle | Beta binomial maximum likelihood estimation (BB MLE)
create_design_matrix | Create design matrix
detect_hvf | Detect highly (or lowly) variable features with scMET
detect_hvf_lvf | Detect highly (or lowly) variable features with scMET
detect_lvf | Detect highly (or lowly) variable features with scMET
differential_methylation, | Differential testing using scMET
differential_test, | Differential testing using scMET
differential_variability | Differential testing using scMET
sce_to_scmet | Convert from SingleCellExperiment to scmet object
scMET | Perform inference with scMET
scmet | Perform inference with scMET
scmet_differential | Differential testing using scMET
scmet_diff_dt | Synthetic methylation data from two groups of cells
scmet_dt | Synthetic methylation data from a single population
scmet_hvf | Detect highly (or lowly) variable features with scMET
scmet_hvf_lvf | Detect highly (or lowly) variable features with scMET
scmet_lvf | Detect highly (or lowly) variable features with scMET
scmet_mcmc | Perform inference with scMET
scmet_plot_efdr_efnr_grid | Plot EFDR/EFNR grid
scmet_plot_estimated_vs_true | Plot true versus inferred parameter estimated.
scmet_plot_ma | MA plot for differential analysis
scmet_plot_mean_var | Plotting mean-variability relationship
scmet_plot_vf_tail_prob | Plot tail probabilities for variable feature analysis
scmet_plot_volcano | Volcano plot for differential analysis
scmet_simulate | Simulate methylation data from scMET.
scmet_simulate_diff | Simulate differential methylation data from scMET.
scmet_to_sce | Convert from scmet to SingleCellExperiment object.
scmet_vb | Perform inference with scMET