hsgp_rescale

Rescales data to [-1,1] for HSGP model fitting

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

hsgp_rescale function

<dl><dt>data</dt>
<dd>A data frame</dd>
<dt>columns</dt>
<dd>Vector of integers. The indexes of the columns to be rescaled.</dd></dl>

Arguments

Rescales data to [-1,1] — hsgp_rescale

<dl>

<dt>data</dt>
<dd>A data frame</dd>


<dt>columns</dt>
<dd>Vector of integers. The indexes of the columns to be rescaled.</dd>

</dl>

hsgp_rescale: Rescales data to [-1,1]

Description

Usage

Value

Arguments

Details

Examples