Learn R Programming

⚠️There's a newer version (3.8-2) of this package.Take me there.

SemiParBIVProbit (version 3.2-3)

Semiparametric Bivariate Probit Modelling

Description

Routine for fitting bivariate probit models with semiparametric predictors (including linear, nonlinear and nonparametric random effects) in the presence of correlated error equations, endogeneity or sample selection.

Copy Link

Version

Install

install.packages('SemiParBIVProbit')

Monthly Downloads

95

Version

3.2-3

License

GPL (>= 2)

Maintainer

Giampiero Marra

Last Published

October 4th, 2012

Functions in SemiParBIVProbit (3.2-3)

InfCr

Information Criteria
bprobSSH

Internal Function
bprobNP.H

Internal Function
startSS

Internal Function
spS

Internal Function
predict.SemiParBIVProbit

Prediction from fitted SemiParBIVProbit model
working.compNP

Internal Function
summary.SemiParBIVProbit

SemiParBIVProbit summary
working.comp

Internal Function
print.summary.SemiParBIVProbit

Print a summary.SemiParBIVProbit object
AT

Average Effect
bprobH

Internal Function
SemiParBIVProbit-package

Semiparametric Bivariate Probit Modelling
SemiParBIVProbitObject

Fitted SemiParBIVProbit object
bprob

Internal Function
bprobSS

Internal Function
residuals.SemiParBIVProbit

Residuals
LM.bpm

Lagrange Multiplier Test (Score Test)
print.AT

Print an AT object
bprobNP

Internal Function
SemiParBIVProbit

Semiparametric Bivariate Probit Modelling
S.m

Internal Function
plot.SemiParBIVProbit

SemiParBIVProbit plotting
print.SemiParBIVProbit

Print a SemiParBIVProbit object