get_validation_summaries {bmstdr}R Documentation

Obtains suitable validation summary statistics from MCMC samples obtained for validation.

Description

Obtains suitable validation summary statistics from MCMC samples obtained for validation.

Usage

get_validation_summaries(samps, level = 95)

Arguments

samps

A matrix of N by p samples for the p parameters

level

Desired confidence level - defaults to 95%.

Value

A data frame containing five columns: meanpred, medianpred, sdpred, low (er limit), and up (per limit) for the p parameters.

Examples

set.seed(4)
vrows <- sample(nrow(nysptime), 100)
M1 <- Bsptime(model="lm", formula=y8hrmax~xmaxtemp+xwdsp+xrh, data=nysptime, 
validrows=vrows, scale.transform = "SQRT")
samps<- M1$valpreds
valsums <- get_validation_summaries(samps)
head(valsums)  

[Package bmstdr version 0.7.9 Index]