Practicals for use with Davison (2003) Statistical Models
This package contains the datasets and a few functions
for use with the practicals outlined in Appendix A of the book
Statistical Models (Davison, 2003, Cambridge University Press).
The practicals themselves can be found at
http://statwww.epfl.ch/davison/SM/

This package contains the datasets and a few functions for
use with the practicals outlined in Appendix A of the book
Statistical Models (Davison, 2003, Cambridge University Press).
The practicals themselves can be found at
http://statwww.epfl.ch/davison/SM/

Practicals for Use with Davison (2003) Statistical Models
Contains the datasets and a few functions for use with
the practicals outlined in Appendix A of the book
Statistical Models (Davison, 2003, Cambridge University Press).
The practicals themselves can be found at
<http://statwww.epfl.ch/davison/SM/>.

Ben Deivide de Oliveira Batista, Daniel Furtado Ferreira
Computes the studentized midrange distribution (pdf, cdf
and quantil) and generates random numbers

Computes the studentized midrange distribution (pdf, cdf and quantile) and generates random numbers

c(
person("Ben", "Deivide", email = "ben.deivide@ufsj.edu.br",
role = c("aut"), comment = c(ORCID = '0000-0001-7019-8794')),
person("Daniel", "Furtado", email = "danielff@ufla.br", role = c("aut", "cre"),
comment = c(ORCID = '0000-0002-4371-5239')))
Computes the studentized midrange distribution (pdf, cdf and quantile) and generates random numbers.

Computes the studentized midrange distribution (pdf, cdf and quantil) and generates random numbers

Testing the mediation effect of multiple SNPs on an outcome through a mediator.

Testing the mediation effect of multiple SNPs on an outcome through a gene.

Implements the structural model for variances in order to detect differentially expressed genes from gene expression data

Implements the structural model for variances in order to
detect differentially expressed genes from gene expression data

Implementation of the structural model for variances in order to
detect differentially expressed genes from gene expression data.