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smoothSurv (version 1.6)

Survival Regression with Smoothed Error Distribution

Description

Contains, as a main contribution, 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

1.6

License

GPL (>= 2)

Maintainer

Arnošt Komárek

Last Published

July 27th, 2015

Functions in smoothSurv (1.6)

residuals.smoothSurvReg

Residuals for Objects of Class 'smoothSurvReg'
print.estimTdiff

Print for Objects of Class 'estimTdiff'
smoothSurvReg.fit

Work Function to Fit the Model Using 'smoothSurvReg'
extreme value

Density of the Extreme Value Distribution of a Minimum.
c2a

Work Function for 'smoothSurvReg'
smoothSurvReg

Regression for a Survival Model with Smoothed Error Distribution
a2c

Work Function for 'smoothSurvReg'
derivative.cc3

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

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

Smoothed Survival Regression Object
give.c

Work Function for 'smoothSurvReg'
std.data

Standardization of the Data
confint.smoothSurvReg

Confidence Intervals for Regression Parameters of 'smoothSurvReg' Model
standardized logistic

Density of Standardized Logistic Distribution.
fdensity.smoothSurvReg

Density for Objects of Class 'smoothSurvReg'
derivative.expAD

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

Summary and Print for Objects of Class 'smoothSurvReg'
smoothSurvReg.control

More Options for 'smoothSurvReg'
estimTdiff

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

Hazard Curves for Objects of Class 'smoothSurvReg'
minPenalty

Minimize the penalty term under the two (mean and variance) constraints
find.c

Work Function for 'smoothSurvReg'
eval.Gspline

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

Plot Objects of Class 'smoothSurvReg'
piece

Left Continuous Piecewise Constant Function with a Finite Support.
MP.pseudoinv

Work Function for 'smoothSurvReg', currently nowhere used.