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assist (version 2.0)

A Suite of S-Plus Functions Implementing Smoothing Splines

Description

ASSIST, see manual

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Version

Install

install.packages('assist')

Monthly Downloads

484

Version

2.0

License

GPL version 2 or later

Maintainer

Chunlei Ke

Last Published

August 22nd, 2023

Functions in assist (2.0)

dsms

Interface to Fortran Subroutine dsms
alogit

Calculate the Inverse Logit Transformation
kron

Calculate reproducing kernels for one-dimensional space
horm.cort

Hormone Measurements of Cortisol
snm.control

Set Control Parameters for snm
ssr.control

Set Control Parameters for `ssr'
print.slm

Print Values
nnr

Nonlinear Non-parametric Regression
ssr

Fit a General Smoothing Spline Regression Model
dog

Coronary Ainus Potassium Concentrations
Polynomial2

Calculate Reproducing Kernels for Polynomial Splines on [0, T]
acid

Lake Acidity Study
Thin

Calculate Reproducing Kernels for Thin Plate Splines
predict.snr

Predict Method from a Semiparametric Nonlinear Regression Model Fit
summary.snm

Object Summaries
plot.bCI

Bayesian Confidence Interval Plot of a Smoothing Spline Fit
dcrdr

Interface to Fortran Subroutine dcrdr
Arosa

Monthly Mean Ozone Thickness in Arosa of Switzerland
Shrinkage

Calculate reproducing kernels for Stein shrinkage estimate
predict.ssr

Calculate Predictions and Posterior Standard Deviations for a ssr Object
gdmudr

Interface of dbmdr, dbimdr, dgmdr, dpmdr in GRKPACK.
intervals.slm

Calculate Predictions and Posterior Standard Deviations of Spline Estimates From a slm Object
print.summary.ssr

Print Values
hat.ssr

Extract the Hat Matrix from a ssr Object
predict.snm

Predictions from a Semiparametric Nonlinear Mixed Effects Model Fit
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
anova.ssr

Testing a Non-parametric Function Fitted via Smoothing Splines
wesdr

Wisconsin Epidemiological Study of Diabetic Retinopathy
snm

Fit a Semi-parametric Nonlinear Mixed-effects Model
print.summary.snr

Print Values
print.anova.ssr

Print an anova.ssr Object
deviance.ssr

Model Deviance
gdsidr

Interface of dbsdr, dbisdr, dgsdr, dpsdr in GRKPACK.
nnr.control

Set Control Parameters for nnr
TXtemp

Texas Historical Climate Data
summary.ssr

Summarize a ssr object
print.ssr

Print Values
chickenpox

Chickenpox in New York City
chol.new

A Modified Cholesky Decomposition
print.nnr

Print Values
plot.ssr

Generate Diagnostic Plots for a ssr Object
print.summary.slm

Print Values
dmudr

Interface of dmudr subroutine in RKPACK
ssr.object

A fitted ssr Object
sphere

Calculate Pseudo Reproducing Kernels for Spherical Splines
periodic

Calculate Reproducing Kernels for Periodic Polynomial Splines with Period 1
slm

Fit a Semi-parametric Linear Mixed Effects Model
bdiag

Construct a Block Diagonal Matrix
summary.slm

Object Summaries
sine4p

Calculate Reproducing Kernels for Periodic L-Splines with Period 1/2
print.summary.nnr

Print Vales
print.snm

Print Values
Polynomial

Calculate Reproducing Kernels for Polynomial Splines on [0, 1]
canadaTemp

Monthly Mean Temperatures
dsidr

Interface of dsidr subroutines in RKPACK
ident

Scaling a Vector
print.summary.snm

Print Values
summary.nnr

Object Summaries
print.snr

Print Values
rk.prod

Calculate product of reproducing kernels
snr.control

Set Control Parameters for snr
summary.snr

Object Summaries
snr

Fit A Semi-parametric Nonlinear Regression Model
predict.slm

Predict Method for Semiparametric Linear Mixed Effects Model Fits
climate

Winter Average Temperatures
xyplot2

Extension of XYPLOT
lspline

Calculate Reproducing Kernels for Some L-splines
intervals.nnr

Calculate Predictions and Approximate Posterior Standard Deviations for Spline Estimates From a nnr Object