coef.UPG.Logit {UPG} | R Documentation |
coef
can be used to extract posterior means and credible intervals based on posterior quantiles from UPG.Logit
objects.
## S3 method for class 'UPG.Logit' 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.Logit
to summarize the estimates of a discrete choice model from an UPG.Logit
object and create tables.
predict.UPG.Logit
to predict probabilities from a discrete choice model from an UPG.Logit
object.
plot.UPG.Logit
to plot the results of a discrete choice model 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 posterior means and credible interval based on 0.025 and 0.975 quantiles coef(results.logit, q = c(0.025, 0.975))