transform: Transform fitted probit model

In RprobitB: Bayesian Probit Choice Modeling

Transform fitted probit model

Description

Given an object of class RprobitB_fit, this function can:

• change the length B of the burn-in period,

• change the the thinning factor Q of the Gibbs samples,

• change the utility scale.

Usage

## S3 method for class 'RprobitB_fit'
transform(
  `_data`,
  B = NULL,
  Q = NULL,
  scale = NULL,
  check_preference_flip = TRUE,
  ...
)

Arguments

_data	An object of class RprobitB_fit.
B	The length of the burn-in period, i.e. a non-negative number of samples to be discarded.
Q	The thinning factor for the Gibbs samples, i.e. only every Qth sample is kept.
scale	A character which determines the utility scale. It is of the form ⁠<parameter> := <value>⁠, where ⁠<parameter>⁠ is either the name of a fixed effect or ⁠Sigma_<j>,<j>⁠ for the ⁠<j>⁠th diagonal element of Sigma, and ⁠<value>⁠ is the value of the fixed parameter.
check_preference_flip	Set to TRUE to check for flip in preferences after new scale.
...	Ignored.

Details

See the vignette "Model fitting" for more details: vignette("v03_model_fitting", package = "RprobitB").

Value

The transformed RprobitB_fit object.

RprobitB documentation built on May 29, 2024, 7:59 a.m.