Analyze fuzzy time series by Chen (1996), Singh (2008), Heuristic (Huarng 2001) and Chen-Hsu (2004) models. The Abbasov - Manedova  (2010) and NFTS models is included as well.

Ancestry Mapper assigns genetic ancestry to an individual
and studies relationships between local and global populations.

Tiago R Magalhaes, Darren J. Fitzpatrick

Assigning Ancestry Based on Population References
Tiago R Magalhaes, Darren J Fitzpatrick, Eoghan O'Halloran
Assigns genetic ancestry to an individual, relating to well studied populations, with world-wide coverage, and studies relationships between local and global populations.

Assigns genetic ancestry to an individual and
studies relationships between local and global populations.
None, but greater than 12 GB of RAM highly
recommended.
svd(>= 0.3.3-2), parallel(>= 3.2.1), grDevices, graphics,
stats, utils

Performs AnchorRegression proposed by Rothenhäusler et al. 2020.
The code is adapted from the original paper repository. (<https://github.com/rothenhaeusler/anchor-regression>)
The code was developed independently from the authors of the paper.

glmnet (>= 1.4), selectiveInference (>= 1.0.0)

glmnet (>= 1.4), selectiveInference (>= 1.0.0), mgcv (>= 1.0)

Asynchronous Disk-Based Representation of Massive Data
c(
person("Martijn", "Schuemie", , "schuemie@ohdsi.org", role = c("aut", "cre")),
person("Marc A.", "Suchard", , "msuchard@ucla.edu", role = c("aut")),
person("Observational Health Data Science and Informatics", role = c("cph"))
)
Storing very large data objects on a local drive, while still making it possible to manipulate the data in an efficient manner.
RSQLite, DBI, zip, methods, dbplyr, cli, pillar, Rcpp
testthat, knitr, rmarkdown, rlang, tibble
Martijn Schuemie [aut, cre],
Marc A. Suchard [aut],
Observational Health Data Science and Informatics [cph]

RSQLite, DBI, zip, methods, dbplyr, tidyselect, cli, pillar

testthat, knitr, rmarkdown, rlang, tibble, rJava

RSQLite, DBI, zip, methods, dbplyr, tidyselect, cli, rlang,
pillar
testthat, stringr, knitr, rmarkdown, tibble, rJava