renewal_methods {Countr}

Methods for renewal objects

Description

Methods for renewal objects.

Usage

## S3 method for class 'renewal'
coef(object, ...)

## S3 method for class 'renewal'
vcov(object, ...)

## S3 method for class 'renewal'
residuals(object, type = c("pearson", "response", "prob"), ...)

## S3 method for class 'renewal'
residuals_plot(object, type = c("pearson", "response", "prob"), ...)

## S3 method for class 'renewal'
fitted(object, ...)

## S3 method for class 'renewal'
confint(
  object,
  parm,
  level = 0.95,
  type = c("asymptotic", "boot"),
  bootType = c("norm", "bca", "basic", "perc"),
  ...
)

## S3 method for class 'renewal'
summary(object, ...)

## S3 method for class 'renewal'
print(x, digits = max(3, getOption("digits") - 3), ...)

## S3 method for class 'summary.renewal'
print(
  x,
  digits = max(3, getOption("digits") - 3),
  width = getOption("width"),
  ...
)

## S3 method for class 'renewal'
model.matrix(object, ...)

## S3 method for class 'renewal'
logLik(object, ...)

## S3 method for class 'renewal'
nobs(object, ...)

## S3 method for class 'renewal'
extractAIC(fit, scale, k = 2, ...)

## S3 method for class 'renewal'
addBootSampleObject(object, ...)

## S3 method for class 'renewal'
df.residual(object, ...)

Arguments

object

an object from class "renewal".

...

further arguments for methods.

type, parm, level, bootType, x, digits

see the corresponding generics and section ‘Details’.

width

numeric width length.

fit, scale, k

same as in the generic.

Details

Objects from class "renewal" represent fitted count renewal models and are created by calls to "renewalCount()". There are methods for this class for many of the familiar functions for interacting with fitted models.

Examples

fn <- system.file("extdata", "McShane_Wei_results_boot.RDS", package = "Countr")
object <- readRDS(fn)
class(object) # "renewal"

coef(object)
vcov(object)

## Pearson residuals: rescaled by sd
head(residuals(object, "pearson"))
## response residuals: not rescaled
head(residuals(object, "response"))

head(fitted(object))

## loglik, nobs, AIC, BIC
c(loglik = as.numeric(logLik(object)), nobs = nobs(object),
  AIC = AIC(object), BIC = BIC(object))

asym <- se.coef(object, , "asymptotic")
boot <- se.coef(object, , "boot")
cbind(asym, boot)
## CI for coefficients
asym <- confint(object, type = "asymptotic")
## Commenting out for now, see the nite in the code of confint.renewal():
## boot <- confint(object, type = "boot", bootType = "norm")
## list(asym = asym, boot = boot)
summary(object)
print(object)
## see renewal_methods
## see renewal_methods