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smoothSurv (version 2.0.1)

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

2.0.1

License

GPL (>= 2)

Maintainer

ORPHANED

Last Published

August 10th, 2018

Functions in smoothSurv (2.0.1)

MP.pseudoinv

Work Function for 'smoothSurvReg', currently nowhere used.
a2c

Work Function for 'smoothSurvReg'
fdensity.smoothSurvReg

Density for Objects of Class 'smoothSurvReg'
c2a

Work Function for 'smoothSurvReg'
extreme value

Density of the Extreme Value Distribution of a Minimum.
find.c

Work Function for 'smoothSurvReg'
smoothSurvReg

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

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

More Options for 'smoothSurvReg'
give.c

Work Function for 'smoothSurvReg'
derivative.cc3

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

Density of Standardized Logistic Distribution.
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'
plot.smoothSurvReg

Plot Objects of Class 'smoothSurvReg'
eval.Gspline

Evaluate a G-spline in a grid of values
derivative.expAD

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

Summary and Print for Objects of Class 'smoothSurvReg'
std.data

Standardization of the Data
residuals.smoothSurvReg

Residuals for Objects of Class 'smoothSurvReg'
smoothSurvReg.fit

Work Function to Fit the Model Using 'smoothSurvReg'
smoothSurvReg.object

Smoothed Survival Regression Object
survfit.smoothSurvReg

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

Print for Objects of Class 'estimTdiff'
minPenalty

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

Left Continuous Piecewise Constant Function with a Finite Support.