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smoothSurv (version 2.6)

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

352

Version

2.6

License

GPL (>= 2)

Maintainer

Arnošt Komárek

Last Published

December 13th, 2023

Functions in smoothSurv (2.6)

print.estimTdiff

Print for Objects of Class 'estimTdiff'
smoothSurvReg.fit

Work Function to Fit the Model Using 'smoothSurvReg'
std.data

Standardization of the Data
survfit.smoothSurvReg

Survivor Curves for Objects of Class 'smoothSurvReg'
smoothSurvReg

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

More Options for 'smoothSurvReg'
find.c

Work Function for 'smoothSurvReg'
smoothSurvReg.object

Smoothed Survival Regression Object
confint.smoothSurvReg

Confidence Intervals for Regression Parameters of 'smoothSurvReg' Model
estimTdiff

Estimate expectation of survival times and their difference from the results given by survival regression function
standardized logistic

Density of Standardized Logistic Distribution.
eval.Gspline

Evaluate a G-spline in a grid of values
extreme value

Density of the Extreme Value Distribution of a Minimum.
MP.pseudoinv

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

Work Function for 'smoothSurvReg', currently nowhere used
c2a

Work Function for 'smoothSurvReg'
give.c

Work Function for 'smoothSurvReg'
hazard.smoothSurvReg

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

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

Residuals for Objects of Class 'smoothSurvReg'
plot.smoothSurvReg

Plot Objects of Class 'smoothSurvReg'
derivative.expAD

Work Function for 'smoothSurvReg', currently nowhere used
a2c

Work Function for 'smoothSurvReg'
minPenalty

Minimize the penalty term under the two (mean and variance) constraints
piece

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

Density for Objects of Class 'smoothSurvReg'