Package: MultipleBreakpoints 0.1.0

Nicolas Froelich

MultipleBreakpoints: Estimating Multiple Breakpoints for a Sequence of Realizations of Bernoulli Variables

The iterative procedure estimates structural changes in the success probability of Bernoulli variables. It estimates the number and location of the breakpoints as well as the success probability of the different sequences between the breakpoints. In addition, it provides a graphical illustration of the result.

Authors:Nicolas Froelich

MultipleBreakpoints_0.1.0.tar.gz
MultipleBreakpoints_0.1.0.zip(r-4.7-any)MultipleBreakpoints_0.1.0.zip(r-4.6-any)
MultipleBreakpoints_0.1.0.tar.gz(r-4.7-any)MultipleBreakpoints_0.1.0.tar.gz(r-4.6-any)
MultipleBreakpoints_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
MultipleBreakpoints/json (API)

# Install 'MultipleBreakpoints' in R:
install.packages('MultipleBreakpoints', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 219 downloads 1 exports 2 dependencies

Last updated from:38a0de6e64. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK87
source / vignettesOK141
linux-releaseOK127
windows-develOK46
windows-releaseOK76
wasm-releaseOK82

Exports:multiple_breakpoints

Dependencies:rbibutilsRdpack