R: A Suite of R Functions Implementing Spline Smoothing Techniques

# A Suite of R Functions Implementing Spline Smoothing Techniques

## Documentation for package ‘assist’ version 3.1.9

- DESCRIPTION file.

## Help Pages

acid | Lake Acidity Study
alogit | Calculate the Inverse Logit Transformation
anova.ssr | Testing a Non-parametric Function Fitted via Smoothing Splines
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
cubic | Calculate Reproducing Kernels for Polynomial Splines on [0, 1]
cubic2 | Calculate Reproducing Kernels for Polynomial Splines on [0, T]
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 Deviations for Spline Estimates From a nnr Object
intervals.slm | Calculate Predictions and Posterior Standard Deviations of Spline Estimates From a slm Object
intervals.snm | Calculate Predictions and Approximate Posterior Standard Deviations for Spline Estimate From a snm Object
intervals.snr | Calculate Predictions and Approximate Posterior Standard Deviations for Spline Estimates From a snr Object
kron | Calculate reproducing kernels for one-dimensional space
linear | Calculate Reproducing Kernels for Polynomial Splines on [0, 1]
linear2 | Calculate Reproducing Kernels for Polynomial Splines on [0, T]
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 with Period 1
plot.bCI | Bayesian Confidence Interval Plot of a Smoothing Spline Fit
plot.ssr | Generate Diagnostic Plots for a ssr Object
predict.slm | Predict Method for Semiparametric Linear Mixed Effects Model Fits
predict.snm | Predictions from a Semiparametric Nonlinear Mixed Effects Model Fit
predict.snr | Predict Method from a Semiparametric Nonlinear Regression Model Fit
predict.ssr | Calculate Predictions and Posterior Standard Deviations for a ssr Object
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
quintic | Calculate Reproducing Kernels for Polynomial Splines on [0, 1]
quintic2 | Calculate Reproducing Kernels for Polynomial Splines on [0, T]
rk.prod | Calculate product of reproducing kernels
seizure | IEEG segments from a seizure patient
septic | Calculate Reproducing Kernels for Polynomial Splines on [0, 1]
septic2 | Calculate Reproducing Kernels for Polynomial Splines on [0, T]
shrink0 | Calculate reproducing kernels for Stein shrinkage estimate
shrink1 | Calculate reproducing kernels for Stein shrinkage estimate
sine4p | Calculate Reproducing Kernels for Periodic L-Splines with Period 1/2
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
tp | Calculate Reproducing Kernels for Thin Plate Splines
tp.linear | Calculate Reproducing Kernels for Thin Plate Splines
tp.pseudo | Calculate Reproducing Kernels for Thin Plate Splines
TXtemp | Texas Historical Climate Data
ultrasound | 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