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
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