fixed1: Fixed-effects beta regression with inflation at 1

Description Usage Arguments Value Author(s) See Also

View source: R/fixed1.R

Description

Internal function called by function zoib; Fits a fixed-effects beta regression a response variable bounded within (0, 1].

Usage

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fixed1(y, n, xmu.1, p.xmu, xsum.1, p.xsum, x1.1, p.x1, prior1, prec.int, prec.DN,
lambda.L1, lambda.L2, lambda.ARD, link, n.chain,inits, seed)

Arguments

y

A univariate response variable taking value from (0, 1].

n

Number of rows in the data set.

xmu.1

Design matrix associated with the fixed effects in the linear predictor of g(mean of the beta piece), where g() is link function.

p.xmu

Number of columns in xmu.1.

xsum.1

Design matrix associated with the fixed effects in linear predictor of the log(dispersion parameter of the beta piece).

p.xsum

Number of columns in xsum.1.

x1.1

Design matrix associated with the fixed effects in linear predictor of the g(Pr(y=1)), where g() is link function.

p.x1

Number of columns in x1.1.

prior1

Internally generated data (a vector of dimension 4). Prior choice for the regression coefficients in each of the 4 linear predictors of the 4 link functions.

prec.int

The precision parameter in the prior distributions (diffuse normal) of the intercepts in the linear predictors.

prec.DN

The precision parmeter in the prior distributions of the regression coefficients in the linear predictors if the diffuse normal prior is chosen.

lambda.ARD

The scale parameter in the prior distributions of the regression coefficients in the linear predictors if the ARD prior is chosen.

lambda.L1

The scale parameter in the prior distributions of the regression coefficients in the linear predictors if the L1-like prior is chosen.

lambda.L2

The scale parameter in the prior distributions of the regression coefficients in the linear predictors if the L2-like prior is chosen.

link

Internally generated variable containing the information on the choice of link functions for the mean of the beta piece.

n.chain

Number of chains for the MCMC sampling.

inits

initial parameter for model parameters.

seed

seeds for results reproducibility

Value

Internal function. Returned values are used internally

Author(s)

Fang Liu (fang.liu.131@nd.edu)

See Also

See Also as zoib


zoib documentation built on May 29, 2017, 7:04 p.m.

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