Bayesian modelling of cell-to-cell DNA methylation heterogeneity

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Documentation for package ‘scMET’ version 1.11.0

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

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