methods_tests: Methods for 'ADcens', 'chisqcens', 'CvMcens', 'gofcens' and...

In GofCens: Goodness-of-Fit Methods for Right-Censored Data

Methods for ADcens, chisqcens, CvMcens, gofcens and KScens objects.

Description

Print, summary and print summary methods for ADcens, chisqcens, CvMcens, gofcens and KScens objects.

Usage

## S3 method for class 'ADcens'
print(x, ...)

## S3 method for class 'ADcens'
summary(object, outp = c("list", "table"),
        print.AIC = TRUE, print.BIC = TRUE, print.infoBoot = FALSE, ...)

## S3 method for class 'ADcens'
print.summary(x, degs = 3, ...)

## S3 method for class 'chisqcens'
print(x, ...)

## S3 method for class 'chisqcens'
summary(object, outp = c("list", "table"),
        print.AIC = TRUE, print.BIC = TRUE, print.infoBoot = FALSE, ...)

## S3 method for class 'chisqcens'
print.summary(x, degs = 3, ...)

## S3 method for class 'CvMcens'
print(x, ...)

## S3 method for class 'CvMcens'
summary(object, outp = c("list", "table"),
        print.AIC = TRUE, print.BIC = TRUE, print.infoBoot = FALSE, ...)

## S3 method for class 'CvMcens'
print.summary(x, degs = 3, ...)

## S3 method for class 'gofcens'
print(x, ...)

## S3 method for class 'gofcens'
summary(object, outp = c("list", "table"),
        print.AIC = TRUE, print.BIC = TRUE, print.infoBoot = FALSE, ...)

## S3 method for class 'gofcens'
print.summary(x, degs = 3, ...)

## S3 method for class 'KScens'
print(x, ...)

## S3 method for class 'KScens'
summary(object, outp = c("list", "table"),
        print.AIC = TRUE, print.BIC = TRUE, print.infoBoot = FALSE, ...)

## S3 method for class 'KScens'
print.summary(x, degs = 3, ...)

Arguments

object, x	An object of class ADcens chisqcens, CvMcens, gofcens or KScens.
outp	Indicator of how the output will be displayed. The possible formats are list and table.
print.AIC	Logical to indicate if the AIC of the model should be printed. Default is TRUE
print.BIC	Logical to indicate if the BIC of the model should be printed. Default is TRUE
print.infoBoot	Logical to indicate if the number of bootstrap samples used should be printed. Default is FALSE
degs	Integer indicating the number of decimal places of the numeric results of the output. By default is 3.
...	Optional arguments.

Details

print()

Prints only essential information of the object.

summary()

Produces result summaries, printing information in a more extensive form and with different formats available.

print.summary()

Prints the summary output.

Value

print()

Basic information is returned on the screen.

summary()

A list with the elements:

• Distribution: Null distribution.

• Hypothesis: Parameters under the null hypothesis (if params0 is provided).

• Test: Vector containing the value of the Anderson-Darling statistic (AD) and the estimated p-value (p-value).

• Estimates: Vector with the maximum likelihood estimates of the parameters of the distribution under study.

• StdErrors: Vector containing the estimated standard errors.

• aic: The Akaike information criterion.

• bic: The so-called BIC or SBC (Schwarz Bayesian criterion).

• BS: The number of bootstrap samples used.

print.summary()

x, with the invisible flag set to prevent printing.

Author(s)

K. Langohr, M. Besalú, M. Francisco, A. Garcia, G. Gómez.

Examples

# Generating data
set.seed(123)
survt <- round(rlnorm(300, 2, 1), 2)
censt <- round(rexp(300, 1 / 20), 2)
times <- pmin(survt, censt)
cens <- as.numeric(survt <= censt)

# Print method
set.seed(123)
CvMcens(times, cens, distr = "weibull", BS = 99)

# List output from summary method
set.seed(123)
summary(ADcens(times = rweibull(100, 12, scale = 4), distr = "weibull",
        BS = 149))

# Table output from summary method
set.seed(123)
summary(ADcens(times = rweibull(100, 12, scale = 4), distr = "weibull",
               BS = 99), outp = "table")

GofCens documentation built on June 8, 2025, 10:11 a.m.