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SLRMss

Symmetric linear regression models for small samples. Guided by: Francisco Moisés Cândido Medeiros (https://github.com/sesiommedeiros).

Set up

Steps to obtain the Wald, likelihood ratio, score, and gradient tests and the corrected likelihood ratio, score, and gradient tests in small-sized and moderate-sized samples in symmetric linear regression models, see Medeiros, F. M. C. and Ferrari, S.L.P (2017):

  1. Open your R or Rstudio
  2. Use the following code
    devtools::install_github("IvoSilvestre/SLRMss")
  3. Type help(SLRMss) to see the function syntax.

Reference

Medeiros, F. M. C. and Ferrari, S.L.P. (2017). Small-sample testing inference in symmetric and log-symmetric linear regression models. Statistica Neerlandica, 71(3), 200–224.

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Version

Install

install.packages('SLRMss')

Monthly Downloads

115

Version

1.0.0

License

GPL-3

Maintainer

Ivonaldo S. da Silva-Júnior

Last Published

July 9th, 2025

Functions in SLRMss (1.0.0)

envplot

Quantile-quantile plots with simulated envelope of residuals for SLRMss objects
orange

Orange data Set
cheese

Cheese data set
SLRMss

Symmetric Linear Regression Models for small samples
fitted.SLRMss

Extract model fitted values for a SLRMss object
summary.SLRMss

SLRMss object summaries
coef.SLRMss

Extract the model coefficients for a SLRMss object
print.SLRMss

Print values of a SLRMss object
residuals.SLRMss

Extract residuals model for SLRMss objects
plot.SLRMss

Diagnostic plots for SLRMss objects