dataLD: Transform formula to LaplacesDemon data.

In dnzmarcio/binreg: binreg R package

Description

Transform a formula of binary regression model in data to be used with LaplacesDemon function.

Usage

 dataLD(formula, link, data, subset)

Arguments

formula	an object of class 'formula' (or one that can be coerced to that class): a symbolic description of the model to be fitted.
link	the link function to be used. The options are: 'logit', 'probit' 'cloglog', 'Aranda-Ordaz', 'Weibull', 'CWeibull', 'Stukel', 'Prentice'.
data	an optional data frame, list or environment (or object coercible by 'as.data.frame' to a data frame) containing the variables in the model. If not found in 'data', the variables are taken from 'environment(formula)'.
subset	an optional vector specifying a subset of observations to be used in the fitting process.

Details

It is a function to facilitate de use of LaplacesDemon function. Transform a formula of binary regression model in data to be used with LaplacesDemon function, and suggest an command to run the LaplacesDemon.

Value

J	number of covariates.
mon.names	name of the variable to monitored.
y	binary response variable.
X	covariates of the model.
parm.names	name of the parameters.

References

Statisticat, LLC. (2013). LaplacesDemon: Complete Environment for Bayesian Inference. CRAN. R package version 13.03.04. http://cran.r-project.org/web/packages/LaplacesDemon/index.html

Examples

  set.seed(666)
  x <- rnorm(0,1)
  y <- rbern(length(x),pnorm(0.5+2*x))
  dataLD(y ~ x, "cloglog")

dnzmarcio/binreg documentation built on May 15, 2019, 9:41 a.m.