Distributions Hermite Polynomial Approximation

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Documentation for package ‘hpa’ version 1.1.1

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AIC.hpaBinary Calculates AIC for "hpaBinary" object
AIC.hpaML Calculates AIC for "hpaML" object
AIC.hpaSelection Calculates AIC for "hpaSelection" object
AIC_hpaBinary Calculates AIC for "hpaBinary" object
AIC_hpaML Calculates AIC for "hpaML" object
AIC_hpaSelection Calculates AIC for "hpaSelection" object
dhpa Density function hermite polynomial approximation
dhpaDiff Calculate gradient of density function hermite polynomial approximation
dnorm_parallel Calculate normal pdf in parallel
dtrhpa Truncated density function hermite polynomial approximation
ehpa Expected powered product hermite polynomial approximation
etrhpa Expected powered product hermite polynomial approximation for truncated distribution
hpaBinary Perform semi-nonparametric binary choice model estimation
hpaML Semi-nonparametric maximum likelihood estimation
hpaSelection Perform semi-nonparametric selection model estimation
ihpa Interval distribution function hermite polynomial approximation
ihpaDiff Calculate gradient of interval distribution function hermite polynomial approximation
itrhpa Truncated interval distribution function hermite polynomial approximation for truncated distribution
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 Distribution function hermite polynomial approximation
plot.hpaBinary Plot hpaBinary random errors approximated density
plot.hpaSelection Plot hpaSelection random errors approximated density
plot_hpaBinary Plot hpaBinary random errors approximated density
plot_hpaSelection Plot hpaSelection random errors approximated density
pnorm_parallel Calculate normal cdf in parallel
polynomialIndex Returns matrix of polynomial indexes
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.summary.hpaBinary Summary for hpaBinary output
print.summary.hpaML Summary for hpaML output
print.summary.hpaSelection Summary for hpaSelection output
printPolynomial Print polynomial given it's degrees and coefficients
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