MSE: Compute frequentist MSE

In wiesenfa/ESS: Quantification of prior informativeness in terms of prior effective and effective current sample size

Description

Compute frequentist MSE for use as argument in ecss

Usage

MSE(prior, ...)
## S3 method for class 'betaMix'
MSEmix(prior, y, k, true.mean, ...)
## S3 method for class 'normMix'
MSEmix(prior, y, k, true.mean, ...)
## S3 method for class 'betaMix'
MSEuni(prior, y, k, true.mean, ...)
## S3 method for class 'normMix'
MSEuni(prior, y, k, true.mean, ...)
## S3 method for class 'betaMix'
MSEpp(prior, y, k, true.mean, ...)
## S3 method for class 'normMix'
MSEpp(prior, y, k, true.mean, ...)

Arguments

prior	An RBesT betaMix or normMix object, or a powerprior object created by as.powerprior.
y	vector of quantiles
k	number of observations
true.mean	true mean or rate
...

Author(s)

Manuel Wiesenfarth

wiesenfa/ESS documentation built on June 19, 2019, 4:19 p.m.