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assist (version 3.1.9)

A Suite of R Functions Implementing Spline Smoothing Techniques

Description

Fit various smoothing spline models. Includes an ssr() function for smoothing spline regression, an nnr() function for nonparametric nonlinear regression, an snr() function for semiparametric nonlinear regression, an slm() function for semiparametric linear mixed-effects models, and an snm() function for semiparametric nonlinear mixed-effects models. See Wang (2011) for an overview.

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Version

Install

install.packages('assist')

Monthly Downloads

529

Version

3.1.9

License

GPL-2

Maintainer

Yuedong Wang

Last Published

August 22nd, 2023

Functions in assist (3.1.9)

Calculate the Inverse Logit Transformation

Construct a Block Diagonal Matrix

Monthly Mean Ozone Thickness in Arosa of Switzerland

Treasury and GE bonds

Fit a Monotone Curve Using a Cubic Spline

Calculate Predictions and Approximate Posterior Standard Deviations for Spline Estimate From a snm Object

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

Monthly Mean Temperatures

Calculate Predictions and Posterior Standard Deviations of Spline Estimates From a slm Object

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

Calculate Reproducing Kernels for Periodic Polynomial Splines with Period 1

Chickenpox in New York City

Bayesian Confidence Interval Plot of a Smoothing Spline Fit

Coronary Ainus Potassium Concentrations

A Modified Cholesky Decomposition

Interface of dsidr subroutines in RKPACK

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

Generate Diagnostic Plots for a ssr Object

Predict Method for Semiparametric Linear Mixed Effects Model Fits

Interface to Fortran Subroutine dsms

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

Extract the Hat Matrix from a ssr Object

Calculate Reproducing Kernels for Some L-splines

Interface of dmudr subroutine in RKPACK

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

Set Control Parameters for nnr

Hormone Measurements of Cortisol

Growth of paramecium caudatum population

Calculate Predictions and Posterior Standard Deviations for a ssr Object

Nonlinear Non-parametric Regression

Scaling a Vector

Calculate product of reproducing kernels

Predictions from a Semiparametric Nonlinear Mixed Effects Model Fit

print.anova.ssr

Print an anova.ssr Object

Predict Method from a Semiparametric Nonlinear Regression Model Fit

print.summary.slm

Fit a Semi-parametric Nonlinear Mixed-effects Model

IEEG segments from a seizure patient

Calculate reproducing kernels for one-dimensional space

Set Control Parameters for snm

Calculate Pseudo Reproducing Kernels for Spherical Splines

print.summary.snm

print.summary.nnr

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

Fit a General Smoothing Spline Regression Model

print.summary.snr

Fit a Semi-parametric Linear Mixed Effects Model

Summarize a ssr object

Object Summaries

Object Summaries

print.summary.ssr

Magnitude of the Mira Variable R Hydrae

Ultrasound imaging of the tongue shape

Fit A Semi-parametric Nonlinear Regression Model

Daily maximum temperatures in Stratford

Set Control Parameters for snr

Extension of XYPLOT

Object Summaries

Object Summaries

Average Winter temperature in the United States

Wisconsin Epidemiological Study of Diabetic Retinopathy

A fitted ssr Object

Set Control Parameters for `ssr'

Lake Acidity Study

Calculate Reproducing Kernels for Thin Plate Splines

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

Testing a Non-parametric Function Fitted via Smoothing Splines

Texas Historical Climate Data

Calculate reproducing kernels for Stein shrinkage estimate

Winter Average Temperatures

Interface to Fortran Subroutine dcrdr