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assist (version 3.1.3)

A Suite of R Functions Implementing Spline Smoothing Techniques

Description

A comprehensive package for fitting various non-parametric/semi-parametric linear/nonlinear fixed/mixed smoothing spline models.

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Version

Install

install.packages('assist')

Monthly Downloads

409

Version

3.1.3

License

GPL (>= 2)

Maintainer

Chunlei Ke

Last Published

February 24th, 2015

Functions in assist (3.1.3)

bdiag

Construct a Block Diagonal Matrix
Thin

Calculate Reproducing Kernels for Thin Plate Splines
anova.ssr

Testing a Non-parametric Function Fitted via Smoothing Splines
Polynomial2

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

Lake Acidity Study
TXtemp

Texas Historical Climate Data
Arosa

Monthly Mean Ozone Thickness in Arosa of Switzerland
Shrinkage

Calculate reproducing kernels for Stein shrinkage estimate
alogit

Calculate the Inverse Logit Transformation
dsidr

Interface of dsidr subroutines in RKPACK
Polynomial

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

Interface of dmudr subroutine in RKPACK
print.ssr

Print Values
hat.ssr

Extract the Hat Matrix from a ssr Object
dsms

Interface to Fortran Subroutine dsms
horm.cort

Hormone Measurements of Cortisol
predict.slm

Predict Method for Semiparametric Linear Mixed Effects Model Fits
predict.snm

Predictions from a Semiparametric Nonlinear Mixed Effects Model Fit
print.snr

Print Values
canadaTemp

Monthly Mean Temperatures
bond

Treasury and GE bonds
chickenpox

Chickenpox in New York City
intervals.nnr

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

Coronary Ainus Potassium Concentrations
deviance.ssr

Model Deviance
ident

Scaling a Vector
inc

Fit a Monotone Curve Using a Cubic Spline
climate

Winter Average Temperatures
paramecium

Growth of paramecium caudatum population
slm

Fit a Semi-parametric Linear Mixed Effects Model
nnr

Nonlinear Non-parametric Regression
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
snm

Fit a Semi-parametric Nonlinear Mixed-effects Model
intervals.snr

Calculate Predictions and Approximate Posterior Standard Deviations for Spline Estimates From a snr Object
chol.new

A Modified Cholesky Decomposition
print.snm

Print Values
nnr.control

Set Control Parameters for nnr
snm.control

Set Control Parameters for snm
gdsidr

Interface of dbsdr, dbisdr, dgsdr, dpsdr in GRKPACK.
print.slm

Print Values
print.anova.ssr

Print an anova.ssr Object
periodic

Calculate Reproducing Kernels for Periodic Polynomial Splines with Period 1
snr.control

Set Control Parameters for snr
snr

Fit A Semi-parametric Nonlinear Regression Model
kron

Calculate reproducing kernels for one-dimensional space
gdmudr

Interface of dbmdr, dbimdr, dgmdr, dpmdr in GRKPACK.
lspline

Calculate Reproducing Kernels for Some L-splines
sphere

Calculate Pseudo Reproducing Kernels for Spherical Splines
plot.bCI

Bayesian Confidence Interval Plot of a Smoothing Spline Fit
summary.nnr

Object Summaries
plot.ssr

Generate Diagnostic Plots for a ssr Object
summary.snr

Object Summaries
summary.ssr

Summarize a ssr object
sine4p

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

Print Values
summary.snm

Object Summaries
seizure

IEEG segments from a seizure patient
predict.snr

Predict Method from a Semiparametric Nonlinear Regression Model Fit
ultrasound

Ultrasound imaging of the tongue shape
predict.ssr

Calculate Predictions and Posterior Standard Deviations for a ssr Object
print.summary.snr

Print Values
print.summary.snm

Print Values
summary.slm

Object Summaries
USAtemp

Average Winter temperature in the United States
ssr.object

A fitted ssr Object
wesdr

Wisconsin Epidemiological Study of Diabetic Retinopathy
print.summary.nnr

Print Vales
rk.prod

Calculate product of reproducing kernels
print.summary.slm

Print Values
print.summary.ssr

Print Values
star

Magnitude of the Mira Variable R Hydrae
ssr

Fit a General Smoothing Spline Regression Model
ssr.control

Set Control Parameters for `ssr'
xyplot2

Extension of XYPLOT