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SemiParBIVProbit (version 3.2-6)

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

3.2-6

License

GPL (>= 2)

Maintainer

Giampiero Marra

Last Published

April 29th, 2013

Functions in SemiParBIVProbit (3.2-6)

plot.SemiParBIVProbit

SemiParBIVProbit plotting
bprobNP.H

Internal Function
NP.qu

Internal Function
S.m

Internal Function
print.AT

Print an AT object
print.summary.SemiParBIVProbit

Print a summary.SemiParBIVProbit object
bprob

Internal Function
sem.checks

Some convergence diagnostics
InfCr

Information Criteria
extraiterNP

Internal Function
SemiParBIVProbit.fit

Internal Function
bprobSS

Internal Function
AT

Average treatment effect of a binary endogenous variable
SemiParBIVProbitObject

Fitted SemiParBIVProbit object
SemiParBIVProbit.fit.post

Internal Function
print.SemiParBIVProbit

Print a SemiParBIVProbit object
SemiParBIVProbit-package

Semiparametric Bivariate Probit Modelling
bprobH

Internal Function
bprobNP

Internal Function
bprobSSH

Internal Function
startSS

Internal Function
bprobNRE

Internal Function
residuals.SemiParBIVProbit

Residuals
LM.bpm

Lagrange Multiplier Test (Score Test)
SemiParBIVProbit

Semiparametric Bivariate Probit Modelling
working.compNP

Internal Function
working.comp

Internal Function
predict.SemiParBIVProbit

Prediction from fitted SemiParBIVProbit model
summary.SemiParBIVProbit

SemiParBIVProbit summary