progress_bar

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

progress_bar function

<dl><dt>i</dt>
<dd>integer. The current iteration.</dd>
<dt>n</dt>
<dd>integer. The total number of interations</dd>
<dt>len</dt>
<dd>integer. Length of the progress a number of characters</dd></dl>

Arguments

Generates a progress bar — progress_bar

<dl>

<dt>i</dt>
<dd>integer. The current iteration.</dd>


<dt>n</dt>
<dd>integer. The total number of interations</dd>


<dt>len</dt>
<dd>integer. Length of the progress a number of characters</dd>

</dl>

progress_bar: Generates a progress bar

Description

Usage

Value

Arguments

Examples