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smoothSurv (version 0.4)

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

0.4

License

GPL (>= 2)

Maintainer

Arnošt Komárek

Last Published

April 27th, 2009

Functions in smoothSurv (0.4)

hazard.smoothSurvReg

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

Work Function for 'smoothSurvReg', currently nowhere used
estimTdiff

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

More Options for 'smoothSurvReg'
smoothSurvReg.fit

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

Smoothed Survival Regression Object
piece

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

Plot Objects of Class 'smoothSurvReg'
print.estimTdiff

Print for Objects of Class 'estimTdiff'
derivative.cc3

Work Function for 'smoothSurvReg', currently nowhere used
give.c

Work Function for 'smoothSurvReg'
fdensity.smoothSurvReg

Density for Objects of Class 'smoothSurvReg'
c2a

Work Function for 'smoothSurvReg'
find.c

Work Function for 'smoothSurvReg'
minPenalty

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

Survivor Curves for Objects of Class 'smoothSurvReg'
standardized logistic

Density of Standardized Logistic Distribution.
MP.pseudoinv

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

Standardization of the Data
smoothSurvReg

Regression for a Survival Model with Smoothed Error Distribution
residuals.smoothSurvReg

Residuals for Objects of Class 'smoothSurvReg'
eval.Gspline

Evaluate a G-spline in a grid of values
a2c

Work Function for 'smoothSurvReg'
extreme value

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

Summary and Print for Objects of Class 'smoothSurvReg'