strucchange 1.5-1-3 source package in Ubuntu
Changelog
strucchange (1.5-1-3) unstable; urgency=medium
* Rebuilding for R 3.5.0 transition
* debian/control: Set Build-Depends: to current R version
* debian/control: Set Build-Depends: to 'debhelper (>= 10)'
* debian/control: Set Standards-Version: to current version
* debian/control: Add Depends: on ${misc:Depends}
* debian/control: Add Vcs-Browser: and Vcs-Git:
* debian/compat: Increase level to 9
* debian/control: Switch from cdbs to dh-r
* debian/rules: Idem
* debian/README.source: Added
-- Dirk Eddelbuettel <email address hidden> Tue, 05 Jun 2018 06:28:42 -0500
Upload details
- Uploaded by:
- Dirk Eddelbuettel
- Uploaded to:
- Sid
- Original maintainer:
- Dirk Eddelbuettel
- Architectures:
- all
- Section:
- gnu-r
- Urgency:
- Medium Urgency
See full publishing history Publishing
| Series | Published | Component | Section |
|---|
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| strucchange_1.5-1-3.dsc | 1.9 KiB | 73009aea1ddd18304c13ac02bb659e2825739875d313baea94186cdee5d40f07 |
| strucchange_1.5-1.orig.tar.gz | 529.8 KiB | 740e2e20477b9fceeef767ae1002adc5ec397cb0f7daba5289a2c23b0dddaf31 |
| strucchange_1.5-1-3.debian.tar.xz | 3.6 KiB | 02094a36078b2c7d9d10905d109b73902e17511dff0e833911bc6d7836ebb9b1 |
Available diffs
- diff from 1.5-1-2.1 to 1.5-1-3 (1.9 KiB)
- diff from 1.5-1-2.1build1 (in Ubuntu) to 1.5-1-3 (1.9 KiB)
No changes file available.
Binary packages built by this source
- r-cran-strucchange: GNU R package for structural change regression estimation
This package functions for testing, dating and monitoring of
structural change in linear regression relationships. The strucchange
package features tests/methods from the generalized fluctuation test
framework as well as from the F test (Chow test) framework. This
includes methods to fit, plot and test fluctuation processes (e.g.,
CUSUM, MOSUM, recursive/moving estimates) and F statistics,
respectively. It is possible to monitor incoming data online using
fluctuation processes.
.
Finally, the breakpoints in regression models with structural changes
can be estimated together with confidence intervals. Emphasis is
always given to methods for visualizing the data.
