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smoothSurv (version 1.1)

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 distribution 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

1.1

License

GPL (>= 2)

Maintainer

Arnošt Komárek

Last Published

September 25th, 2012

Functions in smoothSurv (1.1)

c2a

Work Function for 'smoothSurvReg'
hazard.smoothSurvReg

Hazard Curves for Objects of Class 'smoothSurvReg'
derivative.cc3

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

Work Function for 'smoothSurvReg'
estimTdiff

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

Work Function to Fit the Model Using 'smoothSurvReg'
minPenalty

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

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

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

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

More Options for 'smoothSurvReg'
find.c

Work Function for 'smoothSurvReg'
std.data

Standardization of the Data
plot.smoothSurvReg

Plot Objects of Class 'smoothSurvReg'
residuals.smoothSurvReg

Residuals for Objects of Class 'smoothSurvReg'
smoothSurvReg.object

Smoothed Survival Regression Object
fdensity.smoothSurvReg

Density for Objects of Class 'smoothSurvReg'
print.estimTdiff

Print for Objects of Class 'estimTdiff'
a2c

Work Function for 'smoothSurvReg'
standardized logistic

Density of Standardized Logistic Distribution.
piece

Left Continuous Piecewise Constant Function with a Finite Support.
eval.Gspline

Evaluate a G-spline in a grid of values
MP.pseudoinv

Work Function for 'smoothSurvReg', currently nowhere used.
extreme value

Density of the Extreme Value Distribution of a Minimum.
smoothSurvReg

Regression for a Survival Model with Smoothed Error Distribution