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smoothSurv (version 0.3-10)

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

0.3-10

License

GPL version 2 or newer

Maintainer

Arnost Komarek

Last Published

December 13th, 2023

Functions in smoothSurv (0.3-10)

extreme value

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

Density for Objects of Class 'smoothSurvReg'
hazard.smoothSurvReg

Hazard Curves for Objects of Class 'smoothSurvReg'
print.smoothSurvReg

Summary and Print for Objects of Class 'smoothSurvReg'
a2c

Work Function for 'smoothSurvReg'
derivative.expAD

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

Residuals for Objects of Class 'smoothSurvReg'
eval.Gspline

Evaluate a G-spline in a grid of values
smoothSurvReg.control

More Options for 'smoothSurvReg'
give.c

Work Function for 'smoothSurvReg'
minPenalty

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

Density of Standardized Logistic Distribution.
smoothSurvReg.object

Smoothed Survival Regression Object
smoothSurvReg

Regression for a Survival Model with Smoothed Error Distribution
piece

Left Continuous Piecewise Constant Function with a Finite Support.
c2a

Work Function for 'smoothSurvReg'
survfit.smoothSurvReg

Survivor Curves for Objects of Class 'smoothSurvReg'
find.c

Work Function for 'smoothSurvReg'
smoothSurvReg.fit

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

Plot Objects of Class 'smoothSurvReg'
MP.pseudoinv

Work Function for 'smoothSurvReg', currently nowhere used.
derivative.cc3

Work Function for 'smoothSurvReg', currently nowhere used
std.data

Standardization of the Data
estimTdiff

Estimate expectation of survival times and their difference from the results given by survival regression function
print.estimTdiff

Print for Objects of Class 'estimTdiff'