summary.dma: Summarizes Outcomes from 'dma' Object.

In fDMA: Dynamic Model Averaging and Dynamic Model Selection for Continuous Outcomes

Summarizes Outcomes from dma Object.

Description

The function summarizes outcomes obtained from fDMA.

Usage

## S3 method for class 'dma'
summary(object, ...)

Arguments

object	an object of dma class
...	not used

Details

The function produces the outcomes as print.dma.

Additionally:

If object comes from Dynamic Model Averaging (DMA), it shows how often (in comparision to the whole analyzed period) a posterior inclusion probability for a given variable exceeds 1/2. It also shows minimum, maximum and mean posterior inclusion probability for every variable throughout the analyzed period.

If object comes from Dynamic Model Selection (DMS) or Median Probability Model (MED), it shows how often (in comparision to the whole analyzed period) a given variable is present in the selected model.

Value

Called for printing.

Examples

wti <- crudeoil[-1,1]
drivers <- (lag(crudeoil[,-1],k=1))[-1,]
ld.wti <- (diff(log(wti)))[-1,]
ld.drivers <- (diff(log(drivers)))[-1,]

m1 <- fDMA(y=ld.wti,x=ld.drivers,alpha=0.99,lambda=0.99,initvar=1,model="dma")
m2 <- fDMA(y=ld.wti,x=ld.drivers,alpha=0.99,lambda=0.99,initvar=1,model="dms")


summary(m1)
summary(m2)

fDMA documentation built on July 26, 2023, 6:09 p.m.