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SemiParSampleSel (version 1.5)

Semi-Parametric Sample Selection Modelling with Continuous or Discrete Response

Description

Routine for fitting continuous or discrete response copula sample selection models with semi-parametric predictors, including linear and nonlinear effects.

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Version

Install

install.packages('SemiParSampleSel')

Monthly Downloads

31

Version

1.5

License

GPL (>= 2)

Maintainer

Giampiero Marra

Last Published

May 17th, 2017

Functions in SemiParSampleSel (1.5)

SemiParSampleSel-package

Semiparametric Sample Selection Modelling with Continuous or Discrete Response
SemiParSampleSel

Semiparametric Sample Selection Modelling with Continuous or Discrete Response
S.m

Internal Function
SOEP

SOEP - German labour mobility data
aver

Estimated overall average from sample selection model
bitsgHs

Internal Function
conv.check

Some convergence diagnostics
copulaBitsD

Internal Function
SemiParSampleSelObject

Fitted SemiParSampleSel object
VuongClarke

Vuong and Clarke tests
pen

Internal Function
plot.SemiParSampleSel

SemiParSampleSel plotting
ghssD

Internal Function
ghssDuniv

Internal Function
st.theta.star

Internal Function
summary.SemiParSampleSel

SemiParSampleSel summary
fit.SemiParSampleSel

Internal Function
ghss

Internal Function
theta.tau

Internal Function
working.comp

Internal Function
post.check

Post-estimation response diagnostics
predict.SemiParSampleSel

Prediction from fitted SemiParSampleSel model
print.summary.SemiParSampleSel

Print a summary.SemiParSampleSel object
resp.check

Preliminary response diagnostics
logLik.SemiParSampleSel

Extract the log likelihood for a fitted SemiParSampleSel
marginBitsD

Internal Function
print.SemiParSampleSel

Print a SemiParSampleSel object
print.aver

Print an aver object