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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
Version
1.5
1.4
1.3
1.2
1.1-1
1.0
0.1
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Install
install.packages('SemiParSampleSel')
Monthly Downloads
88
Version
1.5
License
GPL (>= 2)
Maintainer
Giampiero Marra
Last Published
May 17th, 2017
Functions in SemiParSampleSel (1.5)
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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