BGPhazard (version 2.1.1)

cpo: Conditional Predictive Ordinate (CPO) Statistic

Description

Makes the CPO Plot and calculates the logarithm of the Pseudomarginal likelihood (LPML).

Usage

cpo(res)

Value

LPML

The value of the logarithm of the Pseudomarginal likelihood

plot

CPO Plot

Arguments

res

tibble. The output from the *Res functions, where * could either be BeM, GaM, CGaM, CuM, CCuM

Details

Computes de CPO as a goodness of fit measure

References

See Geisser (1993); Gelfand, Dey, and Chang (1992); Dey, Chen, and Chang (1997); and Sinha and Dey (1997)

Examples

## Example 1
#  data(gehan)
#  timesG <- gehan$time[gehan$treat == "6-MP"]
#  deltaG <- gehan$cens[gehan$treat == "6-MP"]
#  GEX1 <- GaMRes(timesG, deltaG, K = 8, iterations = 3000)
#  cpo(GEX1)