tidy_to_matrix

samples

<p>An <code>rlang::sym()</code> object.</p>

returnvar

<p>Converts from the output of <code>tidy_samples()</code> or <code>pp_eval(fit, samples_format = "tidy")</code>
to an <code>N_draws</code> X <code>nrows(newdata)</code> matrix with fitted/predicted values. This format is
used y <code>brms</code> and it's useful as <code>yrep</code> in <code>bayesplot::ppc_*</code> functions.</p>

internal

Flexible and informed regression with Multiple Change Points. 'mcp' can infer change points in means, variances, autocorrelation structure, and any combination of these, as well as the parameters of the segments in between. All parameters are estimated with uncertainty and prediction intervals are supported - also near the change points. 'mcp' supports hypothesis testing via Savage-Dickey density ratio, posterior contrasts, and cross-validation. 'mcp' is described in Lindel<c3><b8>v (submitted) <doi:10.31219/osf.io/fzqxv> and generalizes the approach described in Carlin, Gelfand, & Smith (1992) <doi:10.2307/2347570> and Stephens (1994) <doi:10.2307/2986119>.

tidy_to_matrix: Convert from tidy to matrix

Description

Usage

Arguments

Value