get_validation_summaries: Obtains suitable validation summary statistics from MCMC...

In sujit-sahu/bmstdr: Bayesian Modeling of Spatio-Temporal Data with R

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)  

sujit-sahu/bmstdr documentation built on Jan. 30, 2024, 1:40 p.m.