RRglmGOF {GLMMRR} | R Documentation |
Goodness-of-fit statistics for binary Randomized Response data
Description
Compute goodness-of-fit statistics for binary Randomized Response data. Pearson, Deviance and Hosmer-Lemeshow statistics are available.
Usage
RRglmGOF(
RRglmOutput,
doPearson = TRUE,
doDeviance = TRUE,
doHlemeshow = TRUE,
hlemeshowGroups = 10,
rm.na = TRUE
)
Arguments
RRglmOutput |
a model fitted with the |
doPearson |
compute Pearson statistic. |
doDeviance |
compute Deviance statistic. |
doHlemeshow |
compute Hosmer-Lemeshow statistic. |
hlemeshowGroups |
number of groups to split the data into for the Hosmer-Lemeshow statistic (default: 10). |
rm.na |
remove cases with missing data. |
Value
an option of class RRglmGOF.
Examples
out <- RRglm(response ~ Gender + RR + pp + age, link="RRlink.logit", RRmodel=RRmodel,
p1=RRp1, p2=RRp2, data=Plagiarism, etastart=rep(0.01, nrow(Plagiarism)))
RRglmGOF(RRglmOutput = out, doPearson = TRUE, doDeviance = TRUE, doHlemeshow = TRUE)
[Package GLMMRR version 0.5.0 Index]