glmmTMB (version 0.2.3)

isLMM.glmmTMB: support methods for parametric bootstrapping

Description

see refit and isLMM for details

Usage

# S3 method for glmmTMB
isLMM(object)

# S3 method for glmmTMB refit(object, newresp, ...)

Arguments

object

a fitted glmmTMB object

newresp

a new response vector

...

additional arguments (for generic consistency; ignored)

Details

These methods are still somewhat experimental (check your results carefully!), but they should allow parametric bootstrapping. They work by copying and replacing the original response column in the data frame passed to glmmTMB, so they will only work properly if (1) the data frame is still available in the environment and (2) the response variable is specified as a single symbol (e.g. proportion or a two-column matrix constructed on the fly with cbind(). Untested with binomial models where the response is specified as a factor.

Examples

Run this code
# NOT RUN {
if (requireNamespace("lme4")) {
# }
# NOT RUN {
   fm1 <- glmmTMB(count~mined+(1|spp),
                  ziformula=~mined,
                  data=Salamanders,
                  family=nbinom1)
   b1 <- lme4::bootMer(fm1, FUN=function(x) fixef(x)$zi, nsim=20, .progress="txt")
   if (requireNamespace("boot")) {
      boot.ci(b1,type="perc")
    }
# }
# NOT RUN {
}
# }

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