confint.BranchGLM {BranchGLM}R Documentation

Likelihood Ratio Confidence Intervals for Beta Coefficients for BranchGLM Objects

Description

Finds profile likelihood ratio confidence intervals for beta coefficients with the ability to calculate the intervals in parallel.

Usage

## S3 method for class 'BranchGLM'
confint(object, parm, level = 0.95, parallel = FALSE, nthreads = 8, ...)

Arguments

object

a BranchGLM object.

parm

a specification of which parameters are to be given confidence intervals, either a vector of numbers or a vector of names. If missing, all parameters are considered.

level

the confidence level required.

parallel

a logical value to indicate if parallelization should be used.

nthreads

a positive integer to denote the number of threads used with OpenMP, only used if parallel = TRUE.

...

further arguments passed from other methods.

Details

Endpoints of the confidence intervals that couldn't be found by the algorithm are filled in with NA. When there is a lot of multicollinearity in the data the algorithm may have problems finding many of the intervals.

Value

An object of class BranchGLMCIs which is a list with the following components.

CIs

a numeric matrix with the confidence intervals

level

the supplied level

MLE

a numeric vector of the MLEs of the coefficients

See Also

plot.BranchGLMCIs, plotCI

Examples

Data <- iris
### Fitting linear regression model
mymodel <- BranchGLM(Sepal.Length ~ ., data = Data, family = "gaussian", link = "identity")

### Getting confidence intervals
CIs <- confint(mymodel, level = 0.95)
CIs

### Plotting CIs
plot(CIs, mary = 7, cex.y = 0.9)


[Package BranchGLM version 2.1.4 Index]