summarise_prior_samples: Summarise prior samples
In andrewGhazi/malacoda: Bayesian Analysis of High-Throughput Genomic Assays

Compute summary statistics for input prior simulation draws

1	summarise_prior_samples(sim_df, ts_hdi_prob = 0.95, plot_prior = TRUE)

`sim_df`	a data frame of simulation draws
`ts_hdi_prob`	probability mass to include in the highest density interval on transcription shift to call MPRA-functional variants
`plot_prior`	a logical value indicating whether to plot the prior samples on TS

You can get simulated prior draws using sample_from_prior()

a row data frame with columns of summary statistics

1 2	prior_draws = sample_from_prior(marg_prior_example, n_samp = 1000) summarise_prior_samples(prior_draws)

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

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