Data/hora: 11/06/2024 03:36:16

Provedor de dados: 	Pesquisa Agropecuária Brasileira	
País: 	Brazil	
Título: 	R-environment package for regression analysis	
Autores: 	Arnhold,Emmanuel.	
Data: 	2018-07-01	
Ano: 	2018	
Palavras-chave: 	Data analysis; Equality of parameters; Experimental designs; Lack of fit; Mixed models; Model identity.	
Resumo: 	Abstract: The objective of this work was to develop a package in the R environment for automating and facilitating the regression analysis. Named easyreg, the package offers five functions. The er1 function performs analyses in 13 models, including linear, nonlinear, and mixed models. The er2 function considers the lack of fit in the analyses and in the following designs: completely randomized, randomized complete block, Latin squares, and repeated Latin squares. The regplot function generates graphics; the bl function estimates two-segment models; and the regtest function tests the equality of parameters and the identity of the models. These functions allow of a great number of analyses and confer practicality and versatility to the regression analysis.	
Tipo: 	Info:eu-repo/semantics/article	
Idioma: 	Inglês	
Identificador: 	http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2018000700870	
Editor: 	Embrapa Secretaria de Pesquisa e Desenvolvimento

Pesquisa Agropecuária Brasileira	
Relação: 	10.1590/s0100-204x2018000700012	
Formato: 	text/html	
Fonte: 	Pesquisa Agropecuária Brasileira  v.53 n.7 2018	
Fonte: 	info:eu-repo/semantics/openAccess