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smoothSurv (version 1.3-2)

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 Library Version 0.3.

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Version

Install

install.packages('smoothSurv')

Monthly Downloads

259

Version

1.3-2

License

GPL (>= 2)

Maintainer

Arnošt Komárek

Last Published

June 12th, 2013

Functions in smoothSurv (1.3-2)

standardized logistic

Density of Standardized Logistic Distribution.
a2c

Work Function for 'smoothSurvReg'
give.c

Work Function for 'smoothSurvReg'
derivative.expAD

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

Density for Objects of Class 'smoothSurvReg'
extreme value

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

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

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

Smoothed Survival Regression Object
smoothSurvReg

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

Plot Objects of Class 'smoothSurvReg'
eval.Gspline

Evaluate a G-spline in a grid of values
print.estimTdiff

Print for Objects of Class 'estimTdiff'
c2a

Work Function for 'smoothSurvReg'
std.data

Standardization of the Data
estimTdiff

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

More Options for 'smoothSurvReg'
residuals.smoothSurvReg

Residuals for Objects of Class 'smoothSurvReg'
print.smoothSurvReg

Summary and Print 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.
find.c

Work Function for 'smoothSurvReg'
smoothSurvReg.fit

Work Function to Fit the Model Using 'smoothSurvReg'
piece

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

Hazard Curves for Objects of Class 'smoothSurvReg'