The package wraps a lot of upstream engines, all of them in
Suggests so that installing ggchangepoint does not drag in
dozens of packages nobody asked for. The cost of that choice is a
discovery problem: cpt_detect(x, method = "smuce") tells you to
install stepR, but only one package at a time. This installs a whole
family in one call.
Arguments
- bundle
Which family to install:
"core"the engines the common methods need: fpop, wbs, breakfast, not, mosum, IDetect, stepR.
"bayesian"bcp, ocp, Rbeast.
"nonparametric"cpm, kcpRS, CptNonPar, SNSeg.
"highdim"InspectChangepoint, ocd, changepoint.geo, HDCD, changepoints.
"functional"fChange, KWCChangepoint, fabisearch.
"regression"strucchange, segmented, EnvCpt, DeCAFS, cpop, fastcpd.
"inference"nsp, crossvalidationCP, changepoint.influence, penaltyLearning.
"applied"trend, ChangePointTaylor, bfast, wbsts, binsegRcpp.
"time"index and coercion support: zoo, xts, tsibble, tsbox.
"reporting"gt, ggrepel, plotly, ggiraph, progressr, jsonlite.
"all"every engine and extra the package knows about.
Several bundles may be given at once.
- dry_run
Report what would be installed without installing anything. Defaults to
FALSE.- ...
Passed to
install.packages().
Value
Invisibly, a tibble with one row per package (package,
bundle, installed_before, installed_after).
See also
cpt_methods() for the per-method installation
status.