acid | Lake Acidity Study |
alogit | Calculate the Inverse Logit Transformation |
anova.ssr | Testing a Non-parametric Function Fitted via Smoothing... |
Arosa | Monthly Mean Ozone Thickness in Arosa of Switzerland |
bdiag | Construct a Block Diagonal Matrix |
bond | Treasury and GE bonds |
canadaTemp | Monthly Mean Temperatures |
chickenpox | Chickenpox in New York City |
chol.new | A Modified Cholesky Decomposition |
climate | Winter Average Temperatures |
dcrdr | Interface to Fortran Subroutine dcrdr |
deviance.ssr | Model Deviance |
dmudr | Interface of dmudr subroutine in RKPACK |
dog | Coronary Ainus Potassium Concentrations |
dsidr | Interface of dsidr subroutines in RKPACK |
dsms | Interface to Fortran Subroutine dsms |
gdmudr | Interface of dbmdr, dbimdr, dgmdr, dpmdr in GRKPACK. |
gdsidr | Interface of dbsdr, dbisdr, dgsdr, dpsdr in GRKPACK. |
hat.ssr | Extract the Hat Matrix from a ssr Object |
horm.cort | Hormone Measurements of Cortisol |
ident | Scaling a Vector |
inc | Fit a Monotone Curve Using a Cubic Spline |
intervals.nnr | Calculate Predictions and Approximate Posterior Standard... |
intervals.slm | Calculate Predictions and Posterior Standard Deviations of... |
intervals.snm | Calculate Predictions and Approximate Posterior Standard... |
intervals.snr | Calculate Predictions and Approximate Posterior Standard... |
kron | Calculate reproducing kernels for one-dimensional space |
lspline | Calculate Reproducing Kernels for Some L-splines |
nnr | Nonlinear Non-parametric Regression |
nnr.control | Set Control Parameters for nnr |
paramecium | Growth of paramecium caudatum population |
periodic | Calculate Reproducing Kernels for Periodic Polynomial Splines... |
plot.bCI | Bayesian Confidence Interval Plot of a Smoothing Spline Fit |
plot.ssr | Generate Diagnostic Plots for a ssr Object |
Polynomial | Calculate Reproducing Kernels for Polynomial Splines on [0,... |
Polynomial2 | Calculate Reproducing Kernels for Polynomial Splines on [0,... |
predict.slm | Predict Method for Semiparametric Linear Mixed Effects Model... |
predict.snm | Predictions from a Semiparametric Nonlinear Mixed Effects... |
predict.snr | Predict Method from a Semiparametric Nonlinear Regression... |
predict.ssr | Calculate Predictions and Posterior Standard Deviations for a... |
print.anova.ssr | Print an anova.ssr Object |
print.nnr | Print Values |
print.slm | Print Values |
print.snm | Print Values |
print.snr | Print Values |
print.ssr | Print Values |
print.summary.nnr | Print Vales |
print.summary.slm | Print Values |
print.summary.snm | Print Values |
print.summary.snr | Print Values |
print.summary.ssr | Print Values |
rk.prod | Calculate product of reproducing kernels |
seizure | IEEG segments from a seizure patient |
Shrinkage | Calculate reproducing kernels for Stein shrinkage estimate |
sine4p | Calculate Reproducing Kernels for Periodic L-Splines with... |
slm | Fit a Semi-parametric Linear Mixed Effects Model |
snm | Fit a Semi-parametric Nonlinear Mixed-effects Model |
snm.control | Set Control Parameters for snm |
snr | Fit A Semi-parametric Nonlinear Regression Model |
snr.control | Set Control Parameters for snr |
sphere | Calculate Pseudo Reproducing Kernels for Spherical Splines |
ssr | Fit a General Smoothing Spline Regression Model |
ssr.control | Set Control Parameters for 'ssr' |
ssr.object | A fitted ssr Object |
star | Magnitude of the Mira Variable R Hydrae |
stratford | Daily maximum temperatures in Stratford |
summary.nnr | Object Summaries |
summary.slm | Object Summaries |
summary.snm | Object Summaries |
summary.snr | Object Summaries |
summary.ssr | Summarize a ssr object |
Thin | Calculate Reproducing Kernels for Thin Plate Splines |
TXtemp | Texas Historical Climate Data |
ultra | Ultrasound imaging of the tongue shape |
usatemp | Average Winter temperature in the United States |
wesdr | Wisconsin Epidemiological Study of Diabetic Retinopathy |
xyplot2 | Extension of XYPLOT |
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