coef.UPG.Probit {UPG} | R Documentation |
coef
can be used to extract posterior means and credible intervals based on posterior quantiles from UPG.Probit
objects.
## S3 method for class 'UPG.Probit' coef(object, ..., q = c(0.025, 0.975))
object |
an object of class |
... |
other coef parameters. |
q |
a numerical vector of length two holding the posterior quantiles to be extracted. Default are 0.025 and 0.975 quantiles. |
Returns a matrix containing posterior means and the desired credible interval.
Gregor Zens
summary.UPG.Probit
to summarize the estimates of a discrete choice model from an UPG.Probit
object and create tables.
predict.UPG.Probit
to predict probabilities from a discrete choice model from an UPG.Probit
object.
plot.UPG.Probit
to plot the results of a discrete choice model from an UPG.Probit
object.
# estimate a probit model using example data library(UPG) data(lfp) y = lfp[,1] X = lfp[,-1] results.probit = UPG(y = y, X = X, type = "probit", verbose=TRUE) # extract posterior means and credible interval based on 0.025 and 0.975 quantiles coef(results.probit, q = c(0.025, 0.975))