https://github.com/cran/gss
Tip revision: 9924457bfed29635cbc74e54959beb6a433c8123 authored by Chong Gu on 23 September 2004, 00:00:00 UTC
version 0.9-3
version 0.9-3
Tip revision: 9924457
INDEX
## 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