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smoothSurv (version 0.5-1)

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

0.5-1

License

GPL (>= 2)

Maintainer

Arnošt Komárek

Last Published

June 25th, 2009

Functions in smoothSurv (0.5-1)

derivative.cc3

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

Survivor Curves for Objects of Class 'smoothSurvReg'
std.data

Standardization of the Data
derivative.expAD

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

Work Function for 'smoothSurvReg'
print.estimTdiff

Print for Objects of Class 'estimTdiff'
estimTdiff

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

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

Density for Objects of Class 'smoothSurvReg'
smoothSurvReg.fit

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

Summary and Print for Objects of Class 'smoothSurvReg'
piece

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

Plot Objects of Class 'smoothSurvReg'
hazard.smoothSurvReg

Hazard Curves for Objects of Class 'smoothSurvReg'
minPenalty

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

Work Function for 'smoothSurvReg', currently nowhere used.
standardized logistic

Density of Standardized Logistic Distribution.
c2a

Work Function for 'smoothSurvReg'
a2c

Work Function for 'smoothSurvReg'
give.c

Work Function for 'smoothSurvReg'
smoothSurvReg.control

More Options for 'smoothSurvReg'
extreme value

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

Residuals for Objects of Class 'smoothSurvReg'
smoothSurvReg

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

Smoothed Survival Regression Object