bspline                 B-splines generation, estimation and
                        combination
coef.hpaBinary          Extract coefficients from a hpaBinary object
coef.hpaML              Extract coefficients from a hpaML object
coef.hpaSelection       Extract coefficients from a hpaSelection object
dnorm_parallel          Calculate normal pdf in parallel
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
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
plot.hpaBinary          Plot the approximated density of hpaBinary
                        random errors
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
print_summary_hpaBinary
                        Summary for hpaBinary output
print_summary_hpaML     Summary for hpaML output
print_summary_hpaSelection
                        Summary for hpaSelection output
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 a hpaBinary
                        object
vcov.hpaML              Extract covariance matrix from a hpaML object
vcov.hpaSelection       Extract covariance matrix from a hpaSelection
                        object
