Authors@R: c( person("Marc", "Adams", role= c("aut", "cre"), email= "lm.br.pkg@gmail.com"),
person("authors of R function 'lm'", role = "ctb", comment = "general interface"),
person("authors of 'lm.gls'", role = "ctb",
comment = "interface and R code for matrix weights"),
person("U.S. NIST", role = "ctb", comment = "C++ code for TNT::Vector template") )
Copyright: 'lm.br' uses the design and some R-code of 'lm' copyright
(C) 2013 The R Foundation for Statistical Computing, and of
'lm.gls' copyright (C) 1994-2005 W. N. Venables and B. D.
Description: Exact significance tests for a changepoint in linear or multivariate linear regression.
Confidence regions with exact coverage probabilities for the changepoint.
authors of R function 'lm' [ctb] (general interface),
authors of 'lm.gls' [ctb] (interface and R code for matrix weights),
U.S. NIST [ctb] (C++ code for TNT::Vector template)

person("authors of 'lm.gls'", role = "ctb", comment = "interface and R code for matrix weights"),

person("authors of 'lm.gls'", role = "ctb", comment = "interface and R code for covariate weights"),
authors of 'lm.gls' [ctb] (interface and R code for covariate weights),

Description: Exact significance tests for a changepoint in linear or multiple linear regression.
Imports: stats, methods, graphics, datasets

(C) 2015 The R Foundation for Statistical Computing, and of

Confidence regions with exact coverage probabilities for the changepoint.  The method is from
Knowles, Siegmund and Zhang (1991) <doi:10.1093/biomet/78.1.15>.

Confidence regions with exact coverage probabilities for the changepoint.  Based on

Title: Linear Fixed Effects Models for Diallel Crosses
Authors@R: c(person("Andrea" , "Onofri", role = c("aut", "cre"), email="andrea.onofri@unipg.it"),
person("Niccolo", "Terzaroli", email="n.terzaroli@gmail.com", role = "aut"))
Description: Several service functions to be used to analyse datasets obtained from diallel experiments within the frame of linear models in R, as described in  Onofri et al (2020) <DOI:10.1007/s00122-020-03716-8>.