Package: MultipleRegression 0.1.0

Alcinei Mistico Azevedo

MultipleRegression: Multiple Regression Analysis

Tools to analysis of experiments having two or more quantitative explanatory variables and one quantitative dependent variable. Experiments can be without repetitions or with a statistical design (Hair JF, 2016) <ISBN: 13: 978-0138132637>. Pacote para uma analise de experimentos havendo duas ou mais variaveis explicativas quantitativas e uma variavel dependente quantitativa. Os experimentos podem ser sem repeticoes ou com delineamento estatistico (Hair JF, 2016) <ISBN: 13: 978-0138132637>.

Authors:Alcinei Mistico Azevedo [aut, cre]

MultipleRegression_0.1.0.tar.gz
MultipleRegression_0.1.0.zip(r-4.7-any)MultipleRegression_0.1.0.zip(r-4.6-any)
MultipleRegression_0.1.0.tar.gz(r-4.7-any)MultipleRegression_0.1.0.tar.gz(r-4.6-any)
MultipleRegression_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
MultipleRegression/json (API)

# Install 'MultipleRegression' in R:
install.packages('MultipleRegression', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • DadosFat - Dados de exemplo de um experimento sem repeticoes.
  • DadosPalma - Dados de exemplo de um experimento sem repeticoes.

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 271 downloads 5 exports 1 dependencies

Last updated from:f2d8f49efd. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK90
source / vignettesOK178
linux-releaseOK96
windows-develOK90
windows-releaseOK58
wasm-releaseOK79

Exports:CreateModelFitModelPlotModelPredictModelStepwise

Dependencies:crayon