glmdm: Generalized Linear Mixed Dirichlet Model

In glmdm: R Code for Simulation of GLMDM

Description

R code for simulation of GLMDM

Usage

glmdm(formula, family=gaussian, data, num.reps=1000, a1=3, b1=2, 
	      d=0.25, MM=15, VV=30, ...)

Arguments

formula	a symbolic description of the model to be fit.
family	a descreption of the error distribution and link function to be used in the model.
data	an optional data frame, list or environment containing the variables in the model.
num.reps	num.reps
a1	a1
b1	b1
d	d
MM	MM
VV	VV
...	..

Examples

## Not run: 

data(scotvote)
glmdm.linear.out <- glmdm(PerYesParl ~ PrivateHousingStarts + CouncilTax 
+ Percentage5to15 + PrimaryPTRatio + PerBirthsOut + PerClaimantFemale, 
data=scotvote, num.reps=5000)

data(ssas)
glmdm.probit.ssas <- glmdm(scotpar2 ~ househld + rsex + rage + relgsums + ptyallgs
+ idlosem + marrmus + ukintnat + natinnat + voiceuk3 + nhssat, data=ssas, 
family=binomial(link="probit"), num.reps=10000, log=TRUE)

data(asia)
glmdm.probit.asia <- glmdm(ATT ~ DEM + FED + SYS + AUT, data=asia, 
family=binomial(link="probit"), num.reps=10000, log=TRUE)


## End(Not run)

glmdm documentation built on May 2, 2019, 6:43 a.m.