Package: lm.br 2.9.8

Marc Adams

lm.br: Linear Model with Breakpoint

Exact significance tests for a changepoint in linear or multiple linear regression. Confidence regions with exact coverage probabilities for the changepoint. Based on Knowles, Siegmund and Zhang (1991) <doi:10.1093/biomet/78.1.15>.

Authors:Marc Adams [aut, cre], authors of R function 'lm' [ctb], authors of 'lm.gls' [ctb], U.S. NIST [ctb]

lm.br_2.9.8.tar.gz
lm.br_2.9.8.tar.gz(r-4.5-noble)lm.br_2.9.8.tar.gz(r-4.4-noble)
lm.br_2.9.8.tgz(r-4.4-emscripten)lm.br_2.9.8.tgz(r-4.3-emscripten)
lm.br.pdf |lm.br.html✨
lm.br/json (API)

# Install 'lm.br' in R:

install.packages('lm.br', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3

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

openblas cpp

2.38 score 12 scripts 335 downloads 3 exports 1 dependencies

Last updated 2 months agofrom:2c7bf2708f. Checks:OK: 2. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Nov 27 2024
R-4.5-linux-x86_64	OK	Nov 27 2024

Exports:Cpp_Clmbr lm.br print.lm.br

Dependencies:Rcpp

lm.br

Rendered fromlm.br.Rnwusingutils::Sweaveon Nov 27 2024.

Last update: 2024-09-28
Started: 2013-10-24

Citation

Readme and manuals

Help Manual

Help page	Topics
Fit a Linear Model with a Breakpoint	lm.br-package lm.br print.lm.br
Confidence Interval for the Changepoint	ci ci,Cpp_Clmbr-method
Confidence Region for the Changepoint	cr cr,Cpp_Clmbr-method
Maximum Likelihood Estimates	mle mle,Cpp_Clmbr-method
Set y-Values	sety sety,Cpp_Clmbr-method
Significance Level for Changepoint	sl sl,Cpp_Clmbr-method