Description: An implementation of the iterative proportional fitting procedure for updating a N-dimensional array with respect to given target marginal distributions (which, in turn can be multi-dimensional).

Title: Multidimensional Iterative Proportional Fitting and Alternative
person("Johan", "Barthelemy", role = c("aut", "cre"), email = "johan@uow.edu.au"),
person("Thomas", "Suesse", role = "aut"),
person("Mohammad", "Namazi-Rad", role = "ctb"))
Description: An implementation of the iterative proportional fitting (IPFP),
maximum likelihood, minimum chi-square and weighted least squares procedures
for updating a N-dimensional array with respect to given target marginal
distributions (which, in turn can be multi-dimensional). The package also
provides an application of the IPFP to simulate multivariate Bernoulli

Depends: cmm, Rsolnp, numDeriv, R(>= 2.10.0)

distributions (which, in turn can be multidimensional). The package also

Title: An Open-Source Tool for Visualization of Climate Mitigation
Authors@R: c(person("Diego", "Silva Herran", email = "silva-herran@iges.or.jp",role = "aut"),
person("Jiayang", "WANG", email = "wang@pari.u-tokyo.ac.jp",role = "aut"),
person("Masahiro", "SUGIYAMA", email = "masahiro_sugiyama@alum.mit.edu",role = "aut"),
person("Hiroto", "SHIRAKI", email = "shiraki.h@ses.usp.ac.jp",role = "aut"),
person("Akimitsu", "Inoue", email = "inoue.akimitsu@chino-js.com", role = c("ctr", "cre")))
Description: Generic functions to produce area/bar/box/line plots of data following IAMC (Integrated Assessment Modeling Consortium) submission format.
Imports: ggplot2, stringr, tidyr, shinyWidgets, data.table, readxl,
shiny.i18n (>= 0.2.0), showtextdb, shinyalert, readr, showtext,
shiny (>= 1.5.0), reshape, rlang, dplyr, reshape2
Depends: R (>= 3.5.0), stats, utils, graphics, grDevices,
Suggests: testthat, knitr, rmarkdown, tidyverse
Packaged: 2021-05-17 04:03:59 UTC; inoue.akimitsu

Title: Algebraic and Statistical Functions for Genetics
Author: Martin Schlather [aut, cre], Malena Erbe [aut, cre], Florian Skene [aut], Alexander Freudenberg [ctr]
Description: This is a collection of fast tools for application in quantitative genetics. For instance, the SNP matrix can be stored in a minimum of memory  and the calculation of the genomic relationship matrix is based on a rapid algorithm. It also contains the window scanning approach by Kabluchko and Spodarev (2009), <doi:10.1239/aap/1240319575> to detect anomalous genomic areas <doi:10.1186/s12864-018-5009-y>. Furthermore, the package is used in the Modular Breeding Program Simulator (MoBPS, <https://github.com/tpook92/MoBPS>, <http://www.mobps.de/>). The tools are based on SIMD (Single Instruction Multiple Data, <https://en.wikipedia.org/wiki/SIMD>) and OMP (Open Multi-Processing, <https://de.wikipedia.org/wiki/OpenMP>).
Depends: R (>= 3.0), RandomFieldsUtils (>= 0.5)
Packaged: 2020-04-16 18:47:43 UTC; schlather