tidychangepoint (version 1.0.3)

as.ts.mod_cpt: Objects exported from other packages

Description

These objects are imported from other packages. Follow the links below to see their documentation.

generics

augment, glance, tidy

Usage

# S3 method for mod_cpt
as.ts(x, ...)
# S3 method for mod_cpt
nobs(object, ...)
# S3 method for mod_cpt
logLik(object, ...)
# S3 method for mod_cpt
fitted(object, ...)
# S3 method for mod_cpt
residuals(object, ...)
# S3 method for mod_cpt
coef(object, ...)
# S3 method for mod_cpt
augment(x, ...)
# S3 method for mod_cpt
tidy(x, ...)
# S3 method for mod_cpt
glance(x, ...)
# S3 method for mod_cpt
plot(x, ...)
# S3 method for mod_cpt
print(x, ...)
# S3 method for mod_cpt
summary(object, ...)
# S3 method for seg_basket
as.ts(x, ...)
# S3 method for seg_basket
plot(x, ...)
# S3 method for seg_cpt
as.ts(x, ...)
# S3 method for seg_cpt
glance(x, ...)
# S3 method for seg_cpt
nobs(object, ...)
# S3 method for seg_cpt
print(x, ...)
# S3 method for seg_cpt
summary(object, ...)
# S3 method for tidycpt
as.ts(x, ...)
# S3 method for tidycpt
augment(x, ...)
# S3 method for tidycpt
tidy(x, ...)
# S3 method for tidycpt
glance(x, ...)
# S3 method for tidycpt
plot(x, use_time_index = FALSE, ylab = NULL, ...)
# S3 method for tidycpt
print(x, ...)
# S3 method for tidycpt
summary(object, ...)
# S3 method for meanshift_lnorm
logLik(object, ...)
# S3 method for nhpp
logLik(object, ...)
# S3 method for nhpp
glance(x, ...)
# S3 method for ga
as.ts(x, ...)
# S3 method for ga
nobs(object, ...)
# S3 method for cpt
as.ts(x, ...)
# S3 method for cpt
logLik(object, ...)
# S3 method for cpt
nobs(object, ...)
# S3 method for cptga
as.ts(x, ...)
# S3 method for cptga
nobs(object, ...)
# S3 method for segmented
as.ts(x, ...)
# S3 method for segmented
nobs(object, ...)
# S3 method for breakpointsfull
as.ts(x, ...)
# S3 method for breakpointsfull
nobs(object, ...)
# S3 method for wbs
as.ts(x, ...)
# S3 method for wbs
nobs(object, ...)

Arguments

...

some methods for this generic function require additional arguments.

object

any object from which a log-likelihood value, or a contribution to a log-likelihood value, can be extracted.

use_time_index

Should the x-axis labels be the time indices? Or the time labels?

Examples

# Plot a meanshift model fit
plot(fit_meanshift_norm(CET, tau = 330))
plot(fit_meanshift_norm(CET, tau = 330), plot.title.position = "plot")

#' # Plot a trendshift model fit
plot(fit_trendshift(CET, tau = 330))

#' # Plot a quadratic polynomial model fit
plot(fit_lmshift(CET, tau = 330, deg_poly = 2))

#' # Plot a 4th degree polynomial model fit
plot(fit_lmshift(CET, tau = 330, deg_poly = 10))

# Plot a segmented time series
plot(segment(CET, method = "pelt"))

# Plot a segmented time series and show the time labels on the x-axis
plot(segment(CET, method = "pelt"), use_time_index = TRUE)

# Label the y-axis correctly
segment(CET, method = "pelt") |>
  plot(use_time_index = TRUE, ylab = "Degrees Celsius")
# Summarize a tidycpt object
summary(segment(CET, method = "pelt"))
summary(segment(DataCPSim, method = "pelt"))