coef.UPG.Logit: Extract coefficients from UPG.Logit objects

In UPG: Efficient Bayesian Algorithms for Binary and Categorical Data Regression Models

Extract coefficients from UPG.Logit objects

Description

coef can be used to extract posterior means and credible intervals based on posterior quantiles from UPG.Logit objects.

Usage

## S3 method for class 'UPG.Logit'
coef(object, ..., q = c(0.025, 0.975))

Arguments

object	an object of class UPG.Logit.
...	other coef parameters.
q	a numerical vector of length two providing the posterior quantiles to be extracted. Default are 0.025 and 0.975 quantiles.

Value

Returns a matrix containing posterior means and the desired credible interval.

Author(s)

Gregor Zens

See Also

summary.UPG.Logit to summarize a UPG.Logit object and create tables. predict.UPG.Logit to predict probabilities using a UPG.Logit object. plot.UPG.Logit to plot a UPG.Logit object.

Examples

# estimate a logit model using example data
library(UPG)
data(lfp)
y = lfp[,1]
X = lfp[,-1]
results.logit = UPG(y = y, X = X, model = "logit")

# extract posterior means and credible interval based on 0.025 and 0.975 quantiles
coef(results.logit, q = c(0.025, 0.975))

UPG documentation built on Nov. 4, 2023, 5:06 p.m.