methods: Methods for objects of classes,...

In SemiCompRisks: Hierarchical Models for Parametric and Semi-Parametric Analyses of Semi-Competing Risks Data

Description

The Bayes_HReg class represents results from Bayesian analysis of semi-competing risks or univariate time-to-event data in the context of hazard regression models.
The Bayes_AFT class represents results from Bayesian analysis of semi-competing risks or univariate time-to-event data in the context of AFT models.
The Freq_HReg class represents results from Frequentist analysis of semi-competing risks or univariate time-to-event data in the context of hazard regression models.

Usage

## S3 method for class 'Bayes_HReg'
print(x, digits=3, alpha=0.05, ...)
## S3 method for class 'Bayes_AFT'
print(x, digits=3, alpha=0.05, ...)
## S3 method for class 'summ.Bayes_HReg'
print(x, digits=3, ...)
## S3 method for class 'summ.Bayes_AFT'
print(x, digits=3, ...)
## S3 method for class 'Freq_HReg'
print(x, digits=3, alpha=0.05, ...)
## S3 method for class 'summ.Freq_HReg'
print(x, digits=3, ...)
## S3 method for class 'Bayes_HReg'
summary(object, digits=3, alpha=0.05, ...)
## S3 method for class 'Bayes_AFT'
summary(object, digits=3, alpha=0.05, ...)
## S3 method for class 'Freq_HReg'
summary(object, digits=3, alpha=0.05, ...)
## S3 method for class 'Bayes_HReg'
coef(object, alpha=0.05, ...)
## S3 method for class 'Bayes_AFT'
coef(object, alpha=0.05, ...)
## S3 method for class 'Freq_HReg'
coef(object, alpha=0.05, ...)
## S3 method for class 'Bayes_HReg'
predict(object, xnew=NULL, x1new=NULL, x2new=NULL,
x3new=NULL, tseq=c(0, 5, 10), alpha=0.05, ...)
## S3 method for class 'pred.Bayes_HReg'
plot(x, plot.est="Haz", xlab=NULL, ylab=NULL, ...)
## S3 method for class 'Bayes_AFT'
predict(object, xnew=NULL, x1new=NULL, x2new=NULL,
x3new=NULL, time, tseq=c(0, 5, 10), alpha=0.05, ...)
## S3 method for class 'pred.Bayes_AFT'
plot(x, plot.est="Haz", xlab=NULL, ylab=NULL, ...)
## S3 method for class 'Freq_HReg'
predict(object, xnew=NULL, x1new=NULL, x2new=NULL,
x3new=NULL, tseq=c(0, 5, 10), alpha=0.05, ...)
## S3 method for class 'pred.Freq_HReg'
plot(x, plot.est="Haz", xlab=NULL, ylab=NULL, ...)
## S3 method for class 'Freq_HReg'
vcov(object, ...)

Arguments

x	an object of class Bayes_HReg or Bayes_AFT or Freq_HReg.
digits	a numeric value indicating the number of digits to display.
object	an object of class Bayes_HReg or Bayes_AFT orFreq_HReg.
time	the points at which the baseline survival/hazard functions are evaluated.
tseq	the points at which tick-marks are to be drawn. Required only if the object x is returned by parametric Weibull-HReg/log-Normal-AFT/DPM-AFT models.
plot.est	used only if plot is TRUE. If Surv (the default) then estimated survival functions are produced. If Haz then estimated hazard functions are produced.
xlab	a title for the x axis.
ylab	a title for the y axis.
xnew	a vector of covariate values with which to predict for which to predict for h.
x1new	a vector of covariate values with which to predict for which to predict for h_1.
x2new	a vector of covariate values with which to predict for which to predict for h_2.
x3new	a vector of covariate values with which to predict for which to predict for h_3.
alpha	confidence/credibility level of the interval.
...	additional arguments.

See Also

BayesID_HReg, BayesID_AFT, BayesSurv_HReg, BayesSurv_AFT, FreqID_HReg, FreqSurv_HReg.

SemiCompRisks documentation built on Feb. 3, 2021, 5:06 p.m.