cpss: Change-Point Detection by Sample-Splitting Methods
Implements multiple change searching algorithms for a variety of
frequently considered parametric change-point models. In particular, it
integrates a criterion proposed by Zou, Wang and Li (2020)
<doi:10.1214/19-AOS1814> to select the number of change-points in a
data-driven fashion. Moreover, it also provides interfaces for
user-customized change-point models with one's own cost function and
parameter estimation routine. It is easy to get started with the
cpss.* set of functions by accessing their documentation pages
(e.g., ?cpss).
Version: |
0.0.3 |
Depends: |
R (≥ 2.10) |
Imports: |
Rcpp, magrittr, methods, stats, mvtnorm, Rfast, tibble, dplyr, tidyr, rlang, ggplot2, gridExtra |
LinkingTo: |
Rcpp, RcppArmadillo |
Suggests: |
MASS |
Published: |
2022-08-22 |
DOI: |
10.32614/CRAN.package.cpss |
Author: |
Guanghui Wang [aut, cre],
Changliang Zou [aut] |
Maintainer: |
Guanghui Wang <ghwang.nk at gmail.com> |
BugReports: |
https://github.com/ghwang-nk/cpss/issues |
License: |
GPL (≥ 3) |
URL: |
https://github.com/ghwang-nk/cpss |
NeedsCompilation: |
yes |
Materials: |
README NEWS |
CRAN checks: |
cpss results |
Documentation:
Downloads:
Linking:
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