to_formula

Takes any formula-like input and returns a formula

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

to_formula function

<dl><dt>form</dt>
<dd>Formula or character (with or without initial tilde/"~")</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

Takes any formula-like input and returns a formula — to_formula

<dl>

<dt>form</dt>
<dd>Formula or character (with or without initial tilde/"~")</dd>

</dl>

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

to_formula: Takes any formula-like input and returns a formula

Description

Usage

Value

Arguments

Author