cycles

Given input a, returns a length(a)^2 vector by cycling through the values of a

Specification, analysis, simulation, and fitting of generalised linear mixed models.
Includes Markov Chain Monte Carlo Maximum likelihood and Laplace approximation model fitting for a range of models,
non-linear fixed effect specifications, a wide range of flexible covariance functions that can be combined arbitrarily,
robust and bias-corrected standard error estimation, power calculation, data simulation, and more.
See <https://samuel-watson.github.io/glmmr-web/> for a detailed manual.

Sam Watson

glmmrBase

Generalised Linear Mixed Models in R

cycles function

<dl><dt>a</dt>
<dd>vector</dd></dl>

Arguments

Generates all the orderings of a — cycles

<dl>

<dt>a</dt>
<dd>vector</dd>

</dl>

cycles: Generates all the orderings of a

Description

Usage

Value

Arguments