Dear all, I'm using zeroinfl() from the pscl-package for zero inflated Poisson regression. I would like to calculate (aproximate) prediction intervals for the fitted values. The package itself does not provide them. Can this be calculated analyticaly? Or do I have to use bootstrap?
What I tried until now is to use bootstrap to estimate these intervals. Any comments on the code are welcome. The data and the model are based on the examples in zeroinfl(). #aproximate prediction intervals with Poisson regression fm_pois <- glm(art ~ fem, data = bioChemists, family = poisson) newdata <- na.omit(unique(bioChemists[, "fem", drop = FALSE])) prediction <- predict(fm_pois, newdata = newdata, se.fit = TRUE) ci <- data.frame(exp(prediction$fit + matrix(prediction$se.fit, ncol = 1) %*% c(-1.96, 1.96))) newdata$fit <- exp(prediction$fit) newdata <- cbind(newdata, ci) newdata$model <- "Poisson" library(pscl) #aproximate prediction intervals with zero inflated poisson regression fm_zip <- zeroinfl(art ~ fem | 1, data = bioChemists) fit <- predict(fm_zip) Pearson <- resid(fm_zip, type = "pearson") VarComp <- resid(fm_zip, type = "response") / Pearson fem <- bioChemists$fem bootstrap <- replicate(999, { yStar <- pmax(round(fit + sample(Pearson) * VarComp, 0), 0) predict(zeroinfl(yStar ~ fem | 1), newdata = newdata) }) newdata0 <- newdata newdata0$fit <- predict(fm_zip, newdata = newdata, type = "response") newdata0[, 3:4] <- t(apply(bootstrap, 1, quantile, c(0.025, 0.975))) newdata0$model <- "Zero inflated" #compare the intervals in a nice plot. newdata <- rbind(newdata, newdata0) library(ggplot2) ggplot(newdata, aes(x = fem, y = fit, min = X1, max = X2, colour = model)) + geom_point(position = position_dodge(width = 0.4)) + geom_errorbar(position = position_dodge(width = 0.4)) Best regards, Thierry ------------------------------------------------------------------------ ---- ir. Thierry Onkelinx Instituut voor natuur- en bosonderzoek / Research Institute for Nature and Forest Cel biometrie, methodologie en kwaliteitszorg / Section biometrics, methodology and quality assurance Gaverstraat 4 9500 Geraardsbergen Belgium tel. + 32 54/436 185 thierry.onkel...@inbo.be www.inbo.be To call in the statistician after the experiment is done may be no more than asking him to perform a post-mortem examination: he may be able to say what the experiment died of. ~ Sir Ronald Aylmer Fisher The plural of anecdote is not data. ~ Roger Brinner The combination of some data and an aching desire for an answer does not ensure that a reasonable answer can be extracted from a given body of data. ~ John Tukey Dit bericht en eventuele bijlagen geven enkel de visie van de schrijver weer en binden het INBO onder geen enkel beding, zolang dit bericht niet bevestigd is door een geldig ondertekend document. The views expressed in this message and any annex are purely those of the writer and may not be regarded as stating an official position of INBO, as long as the message is not confirmed by a duly signed document. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.