MLEp.bsci: Bootstrap confidence interval for the MLE of psi

In ville-kinnula/SPEC: Supervised Classification under Partition Exchangeability

Description

A bootstrapped confidence interval for the Maximum Likelihood Estimate for psi based on a 100 bootstrap rounds with 80% of data used at a time.

Usage

MLEp.bsci(x, level)

Arguments

x	A data vector.
level	Level of confidence interval as number between 0 and 1.

Value

The MLE of psi as well as lower and upper bounds of the bootstrap confidence interval.

Examples

## Find a 95% -confidence interval for the MLE of psi given a sample from the
## Poisson-Dirichlet distribution:
x<-rPD(n=10000, psi=100)
MLEp.bsci(x, 0.95)

ville-kinnula/SPEC documentation built on Dec. 23, 2021, 3:11 p.m.