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SemiParBIVProbit (version 3.2-4)

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

164

Version

3.2-4

License

GPL (>= 2)

Maintainer

Giampiero Marra

Last Published

November 14th, 2012

Functions in SemiParBIVProbit (3.2-4)

bprobSS

Internal Function
AT

Average Effect
spS

Internal Function
InfCr

Information Criteria
bprobH

Internal Function
plot.SemiParBIVProbit

SemiParBIVProbit plotting
working.compNP

Internal Function
bprobNP

Internal Function
SemiParBIVProbitObject

Fitted SemiParBIVProbit object
SemiParBIVProbit-package

Semiparametric Bivariate Probit Modelling
bprob

Internal Function
residuals.SemiParBIVProbit

Residuals
working.comp

Internal Function
LM.bpm

Lagrange Multiplier Test (Score Test)
bprobSSH

Internal Function
bprobNP.H

Internal Function
print.AT

Print an AT object
startSS

Internal Function
print.summary.SemiParBIVProbit

Print a summary.SemiParBIVProbit object
predict.SemiParBIVProbit

Prediction from fitted SemiParBIVProbit model
print.SemiParBIVProbit

Print a SemiParBIVProbit object
S.m

Internal Function
summary.SemiParBIVProbit

SemiParBIVProbit summary
SemiParBIVProbit

Semiparametric Bivariate Probit Modelling