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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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Install
install.packages('assist')
Monthly Downloads
520
Version
3.1.3
License
GPL (>= 2)
Maintainer
Chunlei Ke
Last Published
February 24th, 2015
Functions in assist (3.1.3)
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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