Automates Large Linear Analysis Model Fitting

Automated fitting of linear regression models and a
stepwise routine

A collection of tools for stochastic sensor error
characterization using the Allan Variance technique originally
developed by D. Allan.

Acknowledge all Contributors to a Project
person(given = "Mark",
family = "Padgham",
role = c("aut", "cre"),
email = "mark.padgham@email.com")
Acknowledge all contributors to a project via a
single function call. The function appends to a 'README' or other
specified file(s) a table with names of all individuals who
contributed via code or repository issues.  The package also includes
several additional functions to extract and quantify contributions to
any repository.
cli, clipr, ghql, git2r, httr, jsonlite, magrittr

person("Mark", "Padgham", , "mark.padgham@email.com", role = c("aut", "cre"))
Acknowledge all contributors to a project via a single
function call. The function appends to a 'README' or other specified
file(s) a table with names of all individuals who contributed via code
or repository issues.  The package also includes several additional
functions to extract and quantify contributions to any repository.
cli, clipr, curl, ghql, git2r, gitcreds, httr, jsonlite,
magrittr
knitr, rmarkdown, testthat, vcr (>= 0.6.0)

Allele simulation and Haplotype reconstruction from pedigree
databases
Nathan Medina-Rodriguez and Angelo Santana
This package contains tools for simulating alphanumeric alleles
from parent-offspring pedigree databases to later reconstruct the
corresponding non-recombinant haplotypes. Allelic simulations can be
implemented taking into account many different factors (such as number of
families, markers, alleles per marker, probability of missing genotypes,
recombination rate, etc). Haplotype reconstruction can be performed even
with missing data.

Allele Imputation and Haplotype Reconstruction from Pedigree
Databases
Simulation of alphanumeric alleles, imputation of genetic missing data and reconstruction of non-recombinant haplotypes from pedigree databases in a deterministic way. Allelic simulations can be implemented taking into account many different factors (such as number of families, markers, alleles per marker, probability and proportion of missing genotypes, recombination rate, etc). Genotype imputation can be used either simulated datasets or loaded databases (in .ped file biallelic format). Haplotype reconstruction can be performed even with missing data because of alleHap, firstly imputes the genotypes. All this considering that each member (due to meiosis) should unequivocally have two alleles, one inherited from each parent.