fit_marg_prior: Fit a marginal prior

In andrewGhazi/malacoda: Bayesian Analysis of High-Throughput Genomic Assays

Description

Fit a marginal prior

Usage

fit_marg_prior(
  mpra_data,
  n_cores = 1,
  plot_rep_cutoff = TRUE,
  rep_cutoff = 0.15,
  sample_depths,
  well_represented,
  verbose = TRUE
)

Arguments

mpra_data	a data frame of mpra data
n_cores	number of cores to parallelize across
plot_rep_cutoff	logical indicating whether to plot the representation cutoff used
rep_cutoff	fraction indicating the depth-adjusted DNA count quantile to use as the cutoff
sample_depths	optional inputs to allow passing in sample_depths and well_represented objects
well_represented	optional inputs to allow passing in sample_depths and well_represented objects
verbose	logical indicating whether to print messages

Examples

marg_prior = fit_marg_prior(umpra_example,
 rep_cutoff = .15,
 plot_rep_cutoff = TRUE,
 n_cores = 1)

andrewGhazi/malacoda documentation built on Aug. 2, 2020, 12:54 a.m.