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smoothSurv (version 1.5-2)

Survival Regression with Smoothed Error Distribution

Description

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

1.5-2

License

GPL (>= 2)

Maintainer

Arnošt Komárek

Last Published

May 21st, 2015

Functions in smoothSurv (1.5-2)

std.data

Standardization of the Data
piece

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

Confidence Intervals for Regression Parameters of 'smoothSurvReg' Model
smoothSurvReg.object

Smoothed Survival Regression Object
smoothSurvReg

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

Density for Objects of Class 'smoothSurvReg'
extreme value

Density of the Extreme Value Distribution of a Minimum.
eval.Gspline

Evaluate a G-spline in a grid of values
a2c

Work Function for 'smoothSurvReg'
give.c

Work Function for 'smoothSurvReg'
plot.smoothSurvReg

Plot Objects of Class 'smoothSurvReg'
estimTdiff

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

More Options for 'smoothSurvReg'
c2a

Work Function for 'smoothSurvReg'
minPenalty

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

Residuals for Objects of Class 'smoothSurvReg'
MP.pseudoinv

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

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

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

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

Density of Standardized Logistic Distribution.
smoothSurvReg.fit

Work Function to Fit the Model Using 'smoothSurvReg'
find.c

Work Function for 'smoothSurvReg'
print.estimTdiff

Print for Objects of Class 'estimTdiff'
survfit.smoothSurvReg

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

Summary and Print for Objects of Class 'smoothSurvReg'