Package index

Details

spsurv-package spsurv

The 'spsurv' package.

Fitter functions

Functions for fitting a BP based survival regression model.

bpph()

Bernstein Polynomial Based Proportional Hazards Model

bppo()

Bernstein Polynomial Based Proportional Odds Model

bpaft()

Bernstein Polynomial Based Accelerated Failure Time Model

spbp()

spbp: The BP Based Survival Analysis Function

spbp(<default>)

spbp: The BP Based Semiparametric Survival Analysis Function

Extraction and inference

Coefficients, confidence and credible intervals, residuals, survival curves.

coef(<spbp>)

Estimated regression coefficients

confint(<spbp>)

Confidence intervals for the regression coefficients

credint()

Generic S3 method credint

credint(<spbp>)

Confidence intervals for the regression coefficients

vcov(<spbp>)

Covariance of the regression coefficients

residuals(<spbp>)

BP based models residuals.

survfit(<spbp>)

BP-based model survival curves

model.matrix(<spbp>)

Model.matrix method for fitted spbp models

Bernstein polynomial basis

Functions for the BP basis.

bp.basis()

Bernstein basis polynomials calculations

pw.basis()

Power basis polynomials calculations

Plot and print

S3 methods for spbp objects.

plot(<spbp>)

BP based models plot.

print(<spbp>)

Bernstein Polynomial Based Regression Object Print

summary(<spbp>)

Bernstein Polynomial Based Regression Object Summary

print(<summary.bpaft.bayes>)

Bernstein Polynomial Based Regression Object Summary BPAFT Bayes

print(<summary.bpaft.mle>)

Bernstein Polynomial Based Regression Object Summary BPAFT MLE

print(<summary.bpph.bayes>)

Bernstein Polynomial Based Regression Object Summary BPPH Bayes

print(<summary.bpph.mle>)

Bernstein Polynomial Based Regression Object Summary BPPH MLE

print(<summary.bppo.bayes>)

Bernstein Polynomial Based Regression Object Summary BPPO Bayes

print(<summary.bppo.mle>)

Bernstein Polynomial Based Regression Object BPPO MLE

print(<summary.spbp.bayes>)

Bernstein Polynomial Based Regression Object Summary Bayes

print(<summary.spbp.mle>)

Bernstein Polynomial Based Regression Object Summary MLE