get_density

samples

What value to evaluate the density at

value

Used in <a rd-options="" href="/link/hypothesis?package=mcp&version=0.3.1" data-mini-rdoc="mcp::hypothesis">hypothesis</a>

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>.

Jonas Kristoffer Lindel<c3><b8>v

Regression with Multiple Change Points

get_density function

Used in <a rd-options='' href='hypothesis'>hypothesis</a>

get_density: Compute the density at a specific point.

Description

Usage

Arguments

Value