is_constant

check if a vector is constant, up to a defined tolerance.

internal

Provides useful tools for both users and developers of packages
for fitting Bayesian models or working with output from Bayesian models.
The primary goals of the package are to:
(a) Efficiently convert between many different useful formats of
draws (samples) from posterior or prior distributions.
(b) Provide consistent methods for operations commonly performed on draws,
for example, subsetting, binding, or mutating draws.
(c) Provide various summaries of draws in convenient formats.
(d) Provide lightweight implementations of state of the art posterior
inference diagnostics. References: Vehtari et al. (2021)
<doi:10.1214/20-BA1221>.

PaulChristian Buerkner

posterior

Tools for Working with Posterior Distributions

Paul-Christian Bürkner

Jonah Gabry

Matthew Kay

Aki Vehtari

Måns Magnusson

Rok Češnovar

Ben Lambert

Ozan Adıgüzel

Jacob Socolar

Noa Kallioinen

Teemu Säilynoja

is_constant function

<dl><dt>x</dt>
<dd>(vector) vector to check if is constant</dd>
<dt>tol</dt>
<dd>(numeric) tolerance to consider two values equal.
Default is <code>.Machine$double.eps</code>.</dd></dl>

Arguments

Check if vector is constant — is_constant

<dl>

<dt>x</dt>
<dd>(vector) vector to check if is constant</dd>


<dt>tol</dt>
<dd>(numeric) tolerance to consider two values equal.
Default is <code>.Machine$double.eps</code>.</dd>

</dl>

Check if vector is constant

is_constant: Check if vector is constant

Description

Usage

Arguments