sstapreg-methods: Methods for sstapreg objects

In apeterson91/rsstap: Spline Spatial Temporal Aggregated Predictors

Description

The methods documented on this page are actually some of the least important methods defined for sstapreg objects. The most important methods are documented separately, each with its own page. Links to those pages are provided in the See Also section, below.

Usage

## S3 method for class 'sstapreg'
coef(object, ...)

## S3 method for class 'sstapreg'
confint(object, ...)

## S3 method for class 'sstapreg'
fitted(object, ...)

## S3 method for class 'sstapreg'
se(object, ...)

## S3 method for class 'sstapreg'
nobs(object, ...)

## S3 method for class 'sstapreg'
VarCorr(x)

## S3 method for class 'sstapreg'
ngrps(object, ...)

## S3 method for class 'sstapreg'
vcov(object, correlation = FALSE, ...)

## S3 method for class 'sstapreg'
ranef(object, benvo, ...)

## S3 method for class 'sstapreg'
nsamples(object, ...)

Arguments

object	sstapreg object
...	Ignored
x	sstapreg object
correlation	For vcov, if FALSE (the default) the covariance matrix is returned. If TRUE, the correlation matrix is returned instead.
benvo	benvo object used to fit the model

Details

The methods documented on this page are similar to the methods defined for objects of class 'lm', 'glm', 'glmer', etc. However there are a few key differences:

coef

Medians are used for fixed effect point estimates. See the Point estimates section in print.sstapreg for more details.

se

The se function returns fixed effects standard errors based on mad. See the Uncertainty estimates section in print.sstapreg for more details.

confint

confint will throw an error because the posterior_interval function should be used to compute Bayesian uncertainty intervals.

apeterson91/rsstap documentation built on April 7, 2021, 4:36 p.m.