This is an optional step in an analysis using limorhyde2, and is useful for quantifying uncertainty in posterior estimates of fitted curves and rhythmic statistics. The function calls mashr::mash_compute_posterior_matrices().

getPosteriorSamples(fit, nPosteriorSamples = 200L, overwrite = FALSE)

Arguments

fit

A `limorhyde2' object containing posterior fits.

nPosteriorSamples

Number of samples to draw from each posterior distribution.

overwrite

Logical indicating whether to recompute posterior samples if they already exist.

Value

A limorhyde2 object containing everything in fit with added or updated element:

  • mashPosteriorSamples: a three-dimensional array of coefficients, with dim 1 corresponding to features, dim 2 to model terms, and dim 3 to posterior samples.

See also