Estimation methods for phase-type
distribution (PH) and Markovian arrival process (MAP) from
empirical data (point and grouped data) and density function.

person("Hiroyuki", "Okamura", , "okamu@hiroshima-u.ac.jp", role = c("aut", "cre"),
comment = c(ORCID = "0000-0001-6881-0593"))

Estimation methods for phase-type
distribution (PH) and Markovian arrival process (MAP) from
empirical data (point and grouped data) and density function.
The tool is based on the following researches:
Okamura et al. (2009) <doi:10.1109/TNET.2008.2008750>,
Okamura and Dohi (2009) <doi:10.1109/QEST.2009.28>,
Okamura et al. (2011) <doi:10.1016/j.peva.2011.04.001>,
Okamura et al. (2013) <doi:10.1002/asmb.1919>,
Horvath and Okamura (2013) <doi:10.1007/978-3-642-40725-3_10>,
Okamura and Dohi (2016) <doi:10.15807/jorsj.59.72>.

Construct Consensus Genetic Maps and Estimate Recombination
Rates
Dennis van Muijen, Ram Kumar Basnet, Nathalie J. Dek
Construct consensus genetic maps with LPmerge, see Endelman and Plomion (2014) <doi:10.1093/bioinformatics/btu091> and
model the relationship between physical distance and genetic distance using thin-plate regression splines,
see Wood (2003) <doi:10.1111/1467-9868.00374>. Perform quality control on input data and visualise intermediate steps.
dplyr, ggplot2, mgcv, doParallel, parallel, foreach, stringi,
plotly, visNetwork, LPmerge, lazyeval, tidyr

Sylvain Piry, Thomas Campolunghi, Florent Cestier, Karine Berthier
Mapping Averaged Pairwise Information (MAPI) is an exploratory method providing graphical representations summarizing the spatial variation of pairwise metrics (eg. distance, similarity coefficient, ...) computed between georeferenced samples. Reference: Piry et al. (2016) <DOI:10.1111/2041-210X.12616>.
progress (>= 1.0), grDevices, sp (>= 1.3), latticeExtra

c(person(given = "Sylvain",
family = "Piry",
role = c("aut", "cre"),
email = "sylvain.piry@inra.fr",
comment = structure("0000-0002-7717-7555", .Names = "ORCID")),
person(given = "Thomas",
family = "Campolunghi",
role = "aut"),
person(given = "Florent",
family = "Cestier",
role = "aut"),
person(given = "Karine",
family = "Berthier",
role = "aut",
email = "karine.berthier@inra.fr",
comment = structure("0000-0002-2260-7968", .Names = "ORCID")))
Mapping Averaged Pairwise Information (MAPI) is an
exploratory method providing graphical representations summarizing the
spatial variation of pairwise metrics (eg. distance, similarity
coefficient, ...) computed between georeferenced samples.
ggplot2 (>= 2.3), grDevices, latticeExtra, sp (>= 1.3),
progress
Sylvain Piry [aut, cre] (<https://orcid.org/0000-0002-7717-7555>),
Thomas Campolunghi [aut],
Florent Cestier [aut],
Karine Berthier [aut] (<https://orcid.org/0000-0002-2260-7968>)