data.table, DBI, graphics, hbsae, JoSAE, mase, methods, nlme,
Rcpp, RColorBrewer, rgdal, RPostgreSQL, RSQLite, sae, sf, sp,
sqldf, stats, units, utils, xml2, largeList

c(person(given = "Kridsadakorn", family = "Chaichoompu", email = "kridsadakorn@biostatgen.org", role = c("aut", "cre")),person(given = "Kristel", family = 'Van Steen', role = "aut"),person(given = "Fentaw", family = "Abegaz", role = "aut"))
A population genetic simulator, which is able to generate synthetic datasets for single-nucleotide polymorphisms (SNP) for multiple populations. The genetic distances among populations can be set according to the Fixation Index (Fst) as explained in Balding and Nichols (1995) <doi:10.1007/BF01441146>. This tool is able to simulate outlying individuals and missing SNPs can be specified. For Genome-wide association study (GWAS), disease status can be set in desired level according risk ratio.
Kridsadakorn Chaichoompu [aut, cre],
Kristel Van Steen [aut],
Fentaw Abegaz [aut]

Transcriptomic Dynamics Models in Field Conditions
c(person("Koji", "Iwayama", email = "fieldtranscriptome@gmail.com",
role = c("cre")),
person("Yuri", "Aisaka", email = "aisaka@lpixel.net",
role = c("aut")))
Provides functionality for constructing
statistical models of transcriptomic dynamics in field conditions.
It further offers the function to predict expression of a gene given
the attributes of samples and meteorological data.
methods, Rcpp (>= 0.11.2), XML, gglasso, MASS

Provides functionality for constructing
statistical models of transcriptomic dynamics in field conditions.
It further offers the function to predict expression of a gene given
the attributes of samples and meteorological data. Nagano, A. J., Sato,
Y., Mihara, M., Antonio, B. A., Motoyama, R., Itoh, H., Naganuma, Y., and
Izawa, T. (2012). <doi:10.1016/j.cell.2012.10.048>. Iwayama, K., Aisaka, Y.,
Kutsuna, N., and Nagano, A. J. (2017). <doi:10.1093/bioinformatics/btx049>.
methods, Rcpp (>= 0.11.2), XML, gglasso (>= 1.4), MASS

FITS (Flexible Image Transport System) utilities
Utilities to read and write files in the FITS (Flexible
Image Transport System) format, a standard format in astronomy.
Present low-level routines allow:
* Reading and parsing FITS headers
* Reading FITS images (multi-dimensional arrays)
* Reading FITS binary tables
* Writing FITS images (multi-dimensional arrays)
Higher-level functions allow:
* Reading files composed of one or more headers and a single
(perhaps multidimensional) image or single bintable
* Reading bintables into data frames
* Generating vectors for image array axes
* Scaling and writing images as 16-bit integers
Known incompletenesses are reading FITS ASCII table and random group
extensions, as well as bit, complex, and array descriptor data types
in binary tables.