tidy_to_matrix

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.

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 Lindeløv (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>.

Jonas Kristoffer Lindel<c3><b8>v

Regression with Multiple Change Points

Jonas Kristoffer Lindeløv

tidy_to_matrix function

<dl><dt>samples</dt>
<dd>Samples in tidy format</dd>
<dt>returnvar</dt>
<dd>An <code><a href="https://rlang.r-lib.org/reference/sym.html">rlang::sym()</a></code> object.</dd></dl>

Arguments

Jonas Kristoffer Lindeløv <a href="/link/jonas%40lindeloev.dk?package=mcp&version=0.3.3" data-mini-rdoc="mcp::jonas@lindeloev.dk">jonas@lindeloev.dk</a>

Author

Convert from tidy to matrix — tidy_to_matrix

<dl>

<dt>samples</dt>
<dd>Samples in tidy format</dd>


<dt>returnvar</dt>
<dd>An <code><a href='https://rlang.r-lib.org/reference/sym.html'>rlang::sym()</a></code> object.</dd>

</dl>

Jonas Kristoffer Lindeløv <a href='mailto:jonas@lindeloev.dk'>jonas@lindeloev.dk</a>

tidy_to_matrix: Convert from tidy to matrix

Description

Usage

Value

Arguments

Author