## SSANOVA, GSSANOVA, SSDEN, AND SSHZD SUITES
ssanova                     Fitting smoothing spline ANOVA models
predict.ssanova             Predicting from ssanova fits
summary.ssanova             Summarizing ssanova fits
ssanova1                    Fitting smoothing spline ANOVA models
predict.ssanova1            Predicting from ssanova1 fits
summary.ssanova1            Summarizing ssanova1 fits
project.ssanova1            Projecting ssanova1 fits for model diagnostic
residuals.ssanova           Extracting the residuals from ssanova objects
fitted.ssanova              Extracting the fitted values from ssanova objects
print.ssanova               Print function for ssanova objects
print.summary.ssanova       Print function for summary.ssanova objects

gssanova                    Fitting smoothing spline ANOVA models with non Gaussian data
summary.gssanova            Summarizing gssanova fits
gssanova1                   Fitting smoothing spline ANOVA models with non Gaussian data
summary.gssanova1           Summarizing gssanova1 fits
project.gssanova1           Projecting gssanova1 fits for model diagnostic
residuals.gssanova          Extracting the residuals from gssanova objects
fitted.gssanova             Extracting the fitted values from gssanova objects
print.summary.gssanova      Print function for summary.gssanova objects
print.summary.gssanova1     Print function for summary.gssanova1 objects

ssden                       Estimating probability density using smoothing splines
dssden                      Evaluating pdf of ssden estimates
pssden                      Evaluating cdf of 1-D ssden estimates
qssden                      Evaluating quantiles of 1-D ssden estimates
cdssden                     Evaluating conditional pdf of ssden estimates
cpssden                     Evaluating 1-D conditional cdf of ssden estimates
cqssden                     Evaluating 1-D conditional quantiles of ssden estimates
project.ssden               Projecting ssden fits for model diagnostic
print.ssden                 Print function for ssden objects

sshzd                       Estimating hazard function using smoothing splines
hzdrate.sshzd               Evaluating hazard estimates
hzdcurve.sshzd              Evaluating hazard curves
survexp.sshzd               Computing expected survivals
project.ssden               Projecting sshzd fits for model diagnostic
print.ssden                 Print function for sshzd objects

## UTILITIES FOR MAKING MODEL TERMS
mkterm.cubic                Making model terms for cubic spline marginals
mkterm.cubic1               Making model terms for cubic spline marginals
mkphi.cubic                 Making phi function for cubic splines
mkrk.cubic                  Making RK function for cubic splines

mkterm.linear               Making model terms for linear spline marginals
mkterm.linear1              Making model terms for linear spline marginals
mkrk.linear                 Making RK function for linear splines

mkterm.tp                   Making model terms for thin-plate spline marginals
mkphi.tp                    Making phi functions for thin-plate splines
mkphi.tp.p                  Making pseudo phi functions for thin-plate splines
mkrk.tp                     Making RK functions for thin-plate splines
mkrk.tp.p                   Making pseudo RK functions for thin-plate splines

mkrk.nominal                Making RK function for nominal factors
mkrk.ordinal                Making RK function for ordinal factors

mkran                       Generating random effects in mixed-effect models

## UTILITIES FOR DISTRIBUTION FAMILIES
mkdata.binomial             Making pseudo data for logistic regression
dev.resid.binomial          Deviance residuals for logistic regression
dev.null.binomial           Null model deviance for logistic regression
cv.binomial                 CV score for logistic regression
y0.binomial                 Preparing for KL projection of logistic fit
proj0.binomial              Making pseudo data for projection of logistic fit
kl.binomial                 Computing KL distance between logistic fits
cfit.binomial               Computing constant logistic fit

mkdata.poisson              Making pseudo data for Poisson regression
dev.resid.poisson           Deviance residuals for Poisson regression
dev.null.poisson            Null model deviance for Poisson regression
cv.poisson                  CV score for Poisson regression
y0.poisson                  Preparing for KL projection of Poisson fit
proj0.poisson               Making pseudo data for projection of Poisson fit
kl.poisson                  Computing KL distance between Poisson fits
cfit.poisson                Computing constant Poisson fit

mkdata.Gamma                Making pseudo data for gamma regression
dev.resid.Gamma             Deviance residuals for gamma regression
dev.null.Gamma              Null model deviance for gamma regression
cv.Gamma                    CV score for gamma regression
y0.Gamma                    Preparing for KL projection of Gamma fit
proj0.Gamma                 Making pseudo data for projection of Gamma fit
kl.Gamma                    Computing KL distance between Gamma fits
cfit.Gamma                  Computing constant Gamma fit

mkdata.inverse.gaussian     Making pseudo data for IG regression
dev.resid.inverse.gaussian  Deviance residuals for IG regression
dev.null.inverse.gaussian   Null model deviance for IG regression

mkdata.nbinomial            Making pseudo data for negative binomial regression
dev.resid.nbinomial         Deviance residuals for negative binomial regression
dev.null.nbinomial          Null model deviance for negative binomial regression
cv.nbinomial                CV score for negative binomial regression
y0.nbinomial                Preparing for KL projection of negative binomial fit
proj0.nbinomial             Making pseudo data for projection of negative binomial fit
kl.nbinomial                Computing KL distance between negative binomial fits
cfit.nbinomial              Computing constant negative binomial fit

mkdata.weibull              Making pseudo data for Weibull regression
dev.resid.weibull           Deviance residuals for Weibull regression
dev.null.weibull            Null model deviance for Weibull regression
cv.weibull                  CV score for Weibull regression
y0.weibull                  Preparing for KL projection of Weibull fit
proj0.weibull               Making pseudo data for projection of Weibull fit
kl.weibull                  Computing KL distance between Weibull fits
cfit.weibull                Computing constant Weibull fit

mkdata.lognorm              Making pseudo data for log normal regression
dev.resid.lognorm           Deviance residuals for log normal regression
dev0.resid.lognorm          Pseudo deviance residuals for log normal regression
dev.null.lognorm            Null model deviance for log normal regression
cv.lognorm                  CV score for log normal regression
y0.lognorm                  Preparing for KL projection of log normal fit
proj0.lognorm               Making pseudo data for projection of log normal fit
kl.lognorm                  Computing KL distance between log normal fits
cfit.lognorm                Computing constant log normal fit

mkdata.loglogis             Making pseudo data for log logistic regression
dev.resid.loglogis          Deviance residuals for log logistic regression
dev0.resid.loglogis         Pseudo deviance residuals for log logistic regression
dev.null.loglogis           Null model deviance for log logistic regression
cv.loglogis                  CV score for log logistic regression
y0.loglogis                  Preparing for KL projection of log logistic fit
proj0.loglogis               Making pseudo data for projection of log logistic fit
kl.loglogis                  Computing KL distance between log logistic fits
cfit.loglogis                Computing constant log logistic fit

## UTILITIES FOR NUMERICAL INTEGRATION
gauss.quad                  Generating Gauss-Legendre quadrature
smolyak.quad                Generating Smolyak cubature
smolyak.size                Getting the size of Smolyak cubature

## UTILITY FOR OPTIMIZATION
nlm0                        Minimizing univariate functions on finite intervals

## NUMERICAL ENGINE
sspreg                      An interface to RKPACK driver DSIDR
sspregpoi                   Performance-oriented iteration using RKPACK driver DSIDR
mspreg                      An interface to RKPACK driver DMUDR
mspregpoi                   Performance-oriented iteration using RKPACK driver DMUDR
getcrdr                     An interface to RKPACK utility DCRDR
getsms                      An interface to RKPACK utility DSMS

sspreg1                     Compute regression estimate with single smoothing parameter
mspreg1                     Compute regression estimate with multiple smoothing parameters
sspdsty                     Compute density estimate with single smoothing parameter
mspdsty                     Compute density estimate with multiple smoothing parameters

sspngreg1                   Compute NG regression estimate with single smoothing parameter
mspngreg1                   Compute NG regression estimate with single smoothing parameter
ngreg1                      Newton iteration for NG regression with fixed smoothing parameter
ngreg.proj                  Calculate Kullback-Leibler projection for NG regression