bspline |
B-splines generation, estimation and combination |
bsplineComb |
B-splines generation, estimation and combination |
bsplineEstimate |
B-splines generation, estimation and combination |
bsplineGenerate |
B-splines generation, estimation and combination |
coef.hpaBinary |
Extract coefficients from hpaBinary object |
coef.hpaML |
Extract coefficients from hpaML object |
coef.hpaSelection |
Extract coefficients from hpaSelection object |
dhpa |
Probabilities and Moments Hermite Polynomial Approximation |
dhpa0 |
Fast pdf and cdf for standardized univariate PGN distribution |
dhpaDiff |
Probabilities and Moments Hermite Polynomial Approximation |
dhsa |
Probabilities and Moments Hermite Spline Approximation |
dnorm_parallel |
Calculate normal pdf in parallel |
dtrhpa |
Probabilities and Moments Hermite Polynomial Approximation |
ehpa |
Probabilities and Moments Hermite Polynomial Approximation |
ehpaDiff |
Probabilities and Moments Hermite Polynomial Approximation |
ehsa |
Probabilities and Moments Hermite Spline Approximation |
etrhpa |
Probabilities and Moments Hermite Polynomial Approximation |
hpaBinary |
Semi-nonparametric single index binary choice model estimation |
hpaDist |
Probabilities and Moments Hermite Polynomial Approximation |
hpaDist0 |
Fast pdf and cdf for standardized univariate PGN distribution |
hpaML |
Semi-nonparametric maximum likelihood estimation |
hpaSelection |
Perform semi-nonparametric selection model estimation |
hsaDist |
Probabilities and Moments Hermite Spline Approximation |
ihpa |
Probabilities and Moments Hermite Polynomial Approximation |
ihpaDiff |
Probabilities and Moments Hermite Polynomial Approximation |
itrhpa |
Probabilities and Moments Hermite Polynomial Approximation |
logLik.hpaBinary |
Calculates log-likelihood for "hpaBinary" object |
logLik.hpaML |
Calculates log-likelihood for "hpaML" object |
logLik.hpaSelection |
Calculates log-likelihood for "hpaSelection" object |
logLik_hpaBinary |
Calculates log-likelihood for "hpaBinary" object |
logLik_hpaML |
Calculates log-likelihood for "hpaML" object |
logLik_hpaSelection |
Calculates log-likelihood for "hpaSelection" object |
mecdf |
Calculates multivariate empirical cumulative distribution function |
normalMoment |
Calculate k-th order moment of normal distribution |
phpa |
Probabilities and Moments Hermite Polynomial Approximation |
phpa0 |
Fast pdf and cdf for standardized univariate PGN distribution |
plot.hpaBinary |
Plot hpaBinary random errors approximated density |
plot.hpaML |
Plot approximated marginal density using hpaML output |
plot.hpaSelection |
Plot hpaSelection random errors approximated density |
pnorm_parallel |
Calculate normal cdf in parallel |
polynomialIndex |
Multivariate Polynomial Representation |
predict.hpaBinary |
Predict method for hpaBinary |
predict.hpaML |
Predict method for hpaML |
predict.hpaSelection |
Predict outcome and selection equation values from hpaSelection model |
predict_hpaBinary |
Predict method for hpaBinary |
predict_hpaML |
Predict method for hpaML |
predict_hpaSelection |
Predict outcome and selection equation values from hpaSelection model |
print.hpaBinary |
Print method for "hpaBinary" object |
print.hpaML |
Print method for "hpaML" object |
print.hpaSelection |
Print method for "hpaSelection" object |
print.summary.hpaBinary |
Summary for "hpaBinary" object |
print.summary.hpaML |
Summary for hpaML output |
print.summary.hpaSelection |
Summary for "hpaSelection" object |
printPolynomial |
Multivariate Polynomial Representation |
print_summary_hpaBinary |
Summary for hpaBinary output |
print_summary_hpaML |
Summary for hpaML output |
print_summary_hpaSelection |
Summary for hpaSelection output |
qhpa |
Probabilities and Moments Hermite Polynomial Approximation |
rhpa |
Probabilities and Moments Hermite Polynomial Approximation |
summary.hpaBinary |
Summarizing hpaBinary Fits |
summary.hpaML |
Summarizing hpaML Fits |
summary.hpaSelection |
Summarizing hpaSelection Fits |
summary_hpaBinary |
Summarizing hpaBinary Fits |
summary_hpaML |
Summarizing hpaML Fits |
summary_hpaSelection |
Summarizing hpaSelection Fits |
truncatedNormalMoment |
Calculate k-th order moment of truncated normal distribution |
vcov.hpaBinary |
Extract covariance matrix from hpaBinary object |
vcov.hpaML |
Extract covariance matrix from hpaML object |
vcov.hpaSelection |
Extract covariance matrix from hpaSelection object |