adapGridProf: Profile log-likelihood of Dirichlet-multinomial model

In dirmult: Estimation in Dirichlet-Multinomial Distribution

Profile log-likelihood of Dirichlet-multinomial model

Description

Computes the profile log-likelihood of l(π,theta;x) for an interval determined by a given difference in log-likelihood value from the maximum log-likelihood value.

Usage

adapGridProf(data, delta, stepsize=50)

Arguments

data	A matrix or table with counts. Rows represent subpopulations and columns the different categories of the data. Zero rows or columns are automaticly removed.
delta	The difference between max of log-likelihood and the profile log-likelihood. May be used to construct approximate confidence intervals, e.g. with delta = qchisq(0.95,df=1)*2.
stepsize	The stepsize used when stepping left/right of the MLE. The stepsize used by the algorithm is given by the MLE of theta divided by stepsize. Default value is 50.

Value

Gives a data frame with theta values and associated profile log-likelihood values.

See Also

estProfLogLik

Examples

data(us)
fit <- dirmult(us[[1]],epsilon=10^(-12),trace=FALSE)
adapGridProf(us[[1]],delta=0.5)
## Not run: adapGridProf(us[[1]],delta=qchisq(0.95,df=1)*2)

dirmult documentation built on March 21, 2022, 5:05 p.m.