predict.UPG.Logit {UPG} | R Documentation |
predict
generates predicted probabilities from estimated discrete choice models in an UPG.Logit
object. In addition, credible intervals for these probabilities are computed. Probabilities can be predicted from the data used for estimating the model or for a new data set with the same structure.
## S3 method for class 'UPG.Logit' predict(object = NULL, ..., newdata = NULL, q = c(0.025, 0.975))
object |
an object of class |
... |
other predict parameters. |
newdata |
a matrix or a |
q |
a numerical vector of length two holding the posterior quantiles to be extracted. Default are 0.025 and 0.975 quantiles. |
Returns a list containing posterior means of predicted probabilities as well as the desired credible interval.
Gregor Zens
summary.UPG.Logit
to summarize the estimates of a discrete choice model from an UPG.Logit
object and create tables.
plot.UPG.Logit
to plot the results of a discrete choice model from an UPG.Logit
object.
coef.UPG.Logit
to extract coefficients from an UPG.Logit
object.
# estimate a logit model using example data library(UPG) data(lfp) y = lfp[,1] X = lfp[,-1] results.logit = UPG(y = y, X = X, type = "logit", verbose=TRUE) # extract predicted probabilities predict(results.logit)