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SemiParBIVProbit (version 3.2-5)

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.

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Version

Install

install.packages('SemiParBIVProbit')

Monthly Downloads

329

Version

3.2-5

License

GPL (>= 2)

Maintainer

Giampiero Marra

Last Published

November 15th, 2012

Functions in SemiParBIVProbit (3.2-5)

S.m

Internal Function
startSS

Internal Function
print.SemiParBIVProbit

Print a SemiParBIVProbit object
bprob

Internal Function
SemiParBIVProbitObject

Fitted SemiParBIVProbit object
working.comp

Internal Function
SemiParBIVProbit

Semiparametric Bivariate Probit Modelling
predict.SemiParBIVProbit

Prediction from fitted SemiParBIVProbit model
bprobH

Internal Function
bprobNP

Internal Function
working.compNP

Internal Function
plot.SemiParBIVProbit

SemiParBIVProbit plotting
summary.SemiParBIVProbit

SemiParBIVProbit summary
print.summary.SemiParBIVProbit

Print a summary.SemiParBIVProbit object
spS

Internal Function
bprobNP.H

Internal Function
InfCr

Information Criteria
bprobSSH

Internal Function
residuals.SemiParBIVProbit

Residuals
bprobSS

Internal Function
print.AT

Print an AT object
LM.bpm

Lagrange Multiplier Test (Score Test)
SemiParBIVProbit-package

Semiparametric Bivariate Probit Modelling
AT

Average Effect