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smoothSurv (version 2.7)

Survival Regression with Smoothed Error Distribution

Description

Contains, as a main contribution, a function to fit a regression model with possibly right, left or interval censored observations and with the error distribution expressed as a mixture of G-splines. Core part of the computation is done in compiled 'C++' written using the 'Scythe' Statistical Library Version 0.3. The methods implemented in the package have been published in Komárek, Lesaffe and Hilton (2005, J. of Comp. and Graph. Stat.) and Lesaffre, Komárek and Declerck (2005, Stat. Methods in Med. Res.) .

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Version

Install

install.packages('smoothSurv')

Monthly Downloads

299

Version

2.7

License

GPL (>= 2)

Maintainer

Arnošt Komárek

Last Published

September 17th, 2026

Functions in smoothSurv (2.7)

std.data

Standardization of the Data
survfit.smoothSurvReg

Survivor Curves for Objects of Class 'smoothSurvReg'
smoothSurvReg.fit

Work Function to Fit the Model Using 'smoothSurvReg'
residuals.smoothSurvReg

Residuals for Objects of Class 'smoothSurvReg'
print.smoothSurvReg

Summary and Print for Objects of Class 'smoothSurvReg'
smoothSurvReg.object

Smoothed Survival Regression Object
hazard.smoothSurvReg

Hazard Curves for Objects of Class 'smoothSurvReg'
derivative.expAD

Work Function for 'smoothSurvReg', currently nowhere used
smoothSurvReg

Regression for a Survival Model with Smoothed Error Distribution
give.c

Work Function for 'smoothSurvReg'
smoothSurvReg.control

More Options for 'smoothSurvReg'
MP.pseudoinv

Work Function for 'smoothSurvReg', currently nowhere used.
fdensity.smoothSurvReg

Density for Objects of Class 'smoothSurvReg'
find.c

Work Function for 'smoothSurvReg'
plot.smoothSurvReg

Plot Objects of Class 'smoothSurvReg'
print.estimTdiff

Print for Objects of Class 'estimTdiff'
extreme value

Density of the Extreme Value Distribution of a Minimum.
estimTdiff

Estimate expectation of survival times and their difference from the results given by survival regression function
standardized logistic

Density of Standardized Logistic Distribution.
piece

Left Continuous Piecewise Constant Function with a Finite Support.
confint.smoothSurvReg

Confidence Intervals for Regression Parameters of 'smoothSurvReg' Model
eval.Gspline

Evaluate a G-spline in a grid of values
derivative.cc3

Work Function for 'smoothSurvReg', currently nowhere used
a2c

Work Function for 'smoothSurvReg'
c2a

Work Function for 'smoothSurvReg'
minPenalty

Minimize the penalty term under the two (mean and variance) constraints