predprob {pscl} | R Documentation |
Compute predicted probabilities from fitted models, optionally at new covariate values
predprob(obj, ...)
obj |
fitted model object |
... |
other arguments |
See documentation for specific methods.
A matrix of predicted probabilities, each row a vector of
predicted probabilities over the range of responses seen in the data
(i.e., min(y):max(y)
), conditional on the values of covariates.
Simon Jackman <jackman@stanford.edu>
predprob.glm
, predprob.zeroinfl
data(bioChemists) zip <- zeroinfl(count=art ~ ., x = ~ fem + mar + kid5 + phd + ment, z = ~ fem + mar + kid5 + phd + ment, dist="poisson", data=bioChemists,trace=TRUE) ## zero-infl poisson phat <- predprob(zip) newdata <- expand.grid(list(fem="Men",mar="Married", kid5=1,phd=3.103, ment=0:77)) phat <- predprob(zip,newdata=newdata)