fDMA (version 2.2.8)

rvi: Extracts Relative Variable Importances from fDMA Model.

Description

This functions extracts posterior inclusion probabilities for independent variables from dma object.

Usage

rvi(dma.object)

Value

matrix of posterior inclusion probabilities for independent variables

Arguments

dma.object

dma object

Examples

# \donttest{
wti <- crudeoil[-1,1]
drivers <- (lag(crudeoil[,-1],k=1))[-1,]
ld.wti <- (diff(log(wti)))[-1,]
ld.drivers <- drivers[-1,]
ld.drivers[,c(4,6)] <- (diff(drivers[,c(4,6)]))[-1,]
ld.drivers[,c(1:2,5,7)] <- (diff(log(drivers[,c(1:2,5,7)])))[-1,]
ld.drivers[,c(3,6)] <- ld.drivers[,c(3,6)]/100
m1 <- fDMA(y=ld.wti,x=ld.drivers,alpha=0.99,lambda=0.90,initvar=10)
r <- rvi(m1)# }