Salamanders

<p>Obtained from 
<code>
uu &lt;- url("http://www.math.mcmaster.ca/bolker/R/misc/salamander.txt")
sdat &lt;- read.table(uu,header=TRUE,colClasses=c(rep("factor",5),"numeric"))
</code>
See <a href="https://rpubs.com/bbolker/salamander">https://rpubs.com/bbolker/salamander</a> for more information.</p>

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

Salamanders function

<p>Obtained from 
<code>
uu &lt;- url("http://www.math.mcmaster.ca/bolker/R/misc/salamander.txt")
sdat &lt;- read.table(uu,header=TRUE,colClasses=c(rep("factor",5),"numeric"))
</code>
See <a href='https://rpubs.com/bbolker/salamander'>https://rpubs.com/bbolker/salamander</a> for more information.</p>

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Salamanders: Salamanders data

Description

Arguments