Description: Package minPtest is designed for estimating a gene region-level summary for SNP data from case-control studies using a permutation-based resampling method, called min P test, allowing execution on a compute cluster or multicore computer.

Authors@R: c(person("Ludwig Kian Soon", "Hoon", email = "ldwgkshoon@gmail.com", role = c("aut", "cre"), comment = c(ORCID ="0000-0002-2310-3403")), person("Peter", "Shaw", email = "peter.shaw.cs@gmail.com", role = c("aut", "ctb"), comment = c(ORCID ="0000-0002-3187-8938")), person("Phil", "Giffard", email = "Phil.Giffard@menzies.edu.au", role = c("aut", "ctb"), comment = c(ORCID ="0000-0002-3030-9127")))
Description: This is a R implementation of "Minimum SNPs" software as described in "Price E.P., Inman-Bamber, J., Thiruvenkataswamy, V., Huygens, F and Giffard, P.M." (2007) <doi:10.1186/1471-2105-8-278> "Computer-aided identification of polymorphism sets diagnostic for groups of bacterial and viral genetic variants."
Suggests: knitr, testthat, pkgdown, seqinr, Biostrings, rmarkdown,
Author: Ludwig Kian Soon Hoon [aut, cre]
Maintainer: Ludwig Kian Soon Hoon <ldwgkshoon@gmail.com>

Title: Multivariate Model Based Inference for Domains
Depends: R (>= 3.5.0), data.table, MASS, lme4, qdap, Matrix
Description: Allows users to produce estimates and MSE for multivariate variables using Linear Mixed Model. The package follows the approach of Datta, Day and Basawa (1999) <doi:10.1016/S0378-3758(98)00147-5>.

Depends: R (>= 3.5.0), data.table, MASS, qdap, Matrix

Depends: R (>= 3.5.0), data.table, MASS, Matrix

Depends: R (>= 4.1.0), data.table, MASS, Matrix
Imports: dplyr,stats, JWileymisc, tm, methods

Title: Indicadores Economicos de Chile (Economic Outlook for Chile)
Description: Importa datos de la API de <https://mindicador.cl> en formato de cuadro de datos o serie de tiempo.
El objetivo es facilitar el uso de algunos datos economicos a periodistas y profesionales que requieren
informacion desplegada de forma clara y concisa.
(Imports data from <https://mindicador.cl> API in data frame or time series format. The goal
is to ease using certain economic data with different R packages, having in mind journalists and professionals
that require information displayed in a clear and concise way.)
Imports: crul, data.table, digest, jsonlite, memoise, xts
Suggests: knitr, rmarkdown, vcr, covr, testthat, ggplot2, readxl