summariseAlpha: Summarize alphas

In jmhewitt/telefit: Estimation and Prediction for Remote Effects Spatial Process Models

Description

This function computes approximate normal intervals, etc. for fitted alphas.

Usage

summariseAlpha(alpha, prob = 0.95, coords.s, coords.r)

Arguments

alpha	structure containing posterior inference for remote coefficients
prob	confidence level for confidence intervals and significance
coords.s	matrix with coordinates where responses were observed (lon, lat)
coords.r	matrix with coordinates where remote covariates were observed (lon, lat)

Examples

## Not run: 
data("coprecip")
data("coprecip.fit")
attach(coprecip)

# sample posterior predictive distributions AND estimate teleconnection effects
coprecip.precict = stPredict(stFit = coprecip.fit, stData = coprecip, 
                             stDataNew = coprecip, burn = 90, 
                             returnFullAlphas = TRUE)

alpha.90 = summariseAlpha(alpha = coprecip.precict$alpha, prob = .9, 
                          coords.s = coords.s, coords.r = coords.r)

## End(Not run)

jmhewitt/telefit documentation built on Feb. 9, 2020, 7:15 p.m.