| renewal_methods | R Documentation |
Methods for renewal objects.
## 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, ...)
object |
an object from class |
... |
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. |
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.
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