Mlr-class: S4 class for a regression model that inherits from Model.

In ktw5691/psychtm: Text Mining Methods for Psychological Research

Description

S4 class for a regression model that inherits from Model.

Helper function (constructor) for Mlr class

Usage

## S4 method for signature 'Mlr'
sigma2(x)

## S4 replacement method for signature 'Mlr'
sigma2(x) <- value

## S4 method for signature 'Mlr'
a0(x)

## S4 replacement method for signature 'Mlr'
a0(x) <- value

## S4 method for signature 'Mlr'
b0(x)

## S4 replacement method for signature 'Mlr'
b0(x) <- value

Mlr(a0 = 0.001, b0 = 0.001, sigma2 = NaN, ...)

Arguments

x	An Model object.
value	A value to assign to a slot for x
a0	A prior shape hyperparameter for sigma2.
b0	A prior rate hyperparameter for sigma2.
sigma2	A nchain x 1 numeric vector of draws of the residual variance.
...	additional arguments to be passed to the low level regression fitting functions (see below).

Value

An Mlr object.

Slots

a0

A prior shape hyperparameter for sigma2.

b0

A prior rate hyperparameter for sigma2.

sigma2

A nchain x 1 numeric vector of draws of the residual variance.

Examples

m1 <- Mlr(ndocs = 1)
print(m1)

ktw5691/psychtm documentation built on Nov. 3, 2021, 9:10 a.m.