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smoothSurv (version 0.3-9)

Survival Regression with Smoothed Error Distribution

Description

This package contains primarily a function to fit a regression model with possibly right, left or interval censored observations and with the error distrbution expressed as a mixture of G-splines. Core part of the computation is done in compiled C++ written using the Scythe Statistical Libary Version 0.3.

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Version

Install

install.packages('smoothSurv')

Monthly Downloads

259

Version

0.3-9

License

GPL version 2 or newer

Maintainer

Arnost Komarek

Last Published

December 13th, 2023

Functions in smoothSurv (0.3-9)

c2a

Work Function for 'smoothSurvReg'
print.estimTdiff

Print for Objects of Class 'estimTdiff'
a2c

Work Function for 'smoothSurvReg'
smoothSurvReg

Regression for a Survival Model with Smoothed Error Distribution
minPenalty

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

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

Hazard Curves for Objects of Class 'smoothSurvReg'
MP.pseudoinv

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

Smoothed Survival Regression Object
residuals.smoothSurvReg

Residuals for Objects of Class 'smoothSurvReg'
plot.smoothSurvReg

Plot Objects of Class 'smoothSurvReg'
give.c

Work Function for 'smoothSurvReg'
extreme value

Density of the Extreme Value Distribution of a Minimum.
smoothSurvReg.control

More Options for 'smoothSurvReg'
estimTdiff

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

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

Density for Objects of Class 'smoothSurvReg'
derivative.cc3

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

Summary and Print for Objects of Class 'smoothSurvReg'
derivative.expAD

Work Function for 'smoothSurvReg', currently nowhere used
eval.Gspline

Evaluate a G-spline in a grid of values
std.data

Standardization of the Data
smoothSurvReg.fit

Work Function to Fit the Model Using 'smoothSurvReg'
find.c

Work Function for 'smoothSurvReg'
standardized logistic

Density of Standardized Logistic Distribution.