c(person("Gabriel", "Caetano", email = "gabrielhoc@gmail.com", role = c("aut", "cre")),
person("Juan", "Santos", email = "infraguttatus@gmail.com", role = c("aut")),
person("Barry", "Sinervo", email = "lizardrps@gmail.com", role = c("aut")))
Facilitates the incorporation of biological processes in biogeographical analyses. It offers conveniences in fitting, comparing and extrapolating models of biological processes such as physiology and phenology. These spatial extrapolations can be informative by themselves, but also complement traditional correlative species distribution models, by mixing environmental and process-based predictors.
dplyr, magrittr, parallel, raster, rgdal, rlang, stringr,
testthat
Gabriel Caetano [aut, cre],
Juan Santos [aut],
Barry Sinervo [aut]

Estimation of meiotic recombination rates using marey maps.
Aurelie Siberchicot, Clement Rezvoy, Delphine Charif, Laurent Gueguen and Gabriel Marais
A package to graphically estimate local recombination rates across a genome using marey maps.

Estimation of Meiotic Recombination Rates Using Marey Maps
graphics, grDevices, methods, stats, tcltk, tkrplot, tools,
utils
Local recombination rates are graphically estimated across a genome using marey maps.

Aurélie Siberchicot, Clément Rezvoy, Delphine Charif, Laurent Gueguen and Gabriel Marais
Local recombination rates are graphically estimated across a genome using Marey maps.

graphics, grDevices, methods, stats, tcltk, tools, utils

Fits joint marginal conditional models for multivariate longitudinal data, as in Proudfoot, Faig, Natarajan, and Xu (2018) <doi:10.1002/sim.7552>. Development of this package was supported by the UCSD Altman Translational Research Institute, NIH grant UL1TR001442. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH.

c(person(c("Tyson", "S"), "Barrett", email = "t.barrett@aggiemail.usu.edu", role = c("aut", "cre"),
comment = c(ORCID = "0000-0002-2137-1391")),
person("Angelo", "Canty", role = c("ctb"),
comment = "S original bootstrap method, http://statwww.epfl.ch/davison/BMA/library.html"),
person(c("Brian", "D."), "Ripley", role = c("ctb"),
comment = "R port, bootstrap method", email = "ripley@stats.ox.ac.uk"),
person("Thomas", "Leeper", role = c("ctb"),
comment = "Vectorized marginal effects, https://thomasleeper.com/software.html"))
Provides the ability to perform "Marginal Mediation"--mediation
wherein the indirect and direct effects are in terms of the average marginal effects
(Bartus, 2005, <https://EconPapers.repec.org/RePEc:tsj:stataj:v:5:y:2005:i:3:p:309-329>).
The style of the average marginal effects stems from Thomas Leeper's work on the "margins" package.
This framework allows the use of categorical mediators and outcomes with little change in interpretation
from the continuous mediators/outcomes. See <doi:10.13140/RG.2.2.18465.92001> for more details
on the method (peer reviewed articles forthcoming).
testthat, knitr, rmarkdown, furniture, margins
Tyson S Barrett [aut, cre] (<https://orcid.org/0000-0002-2137-1391>),
Angelo Canty [ctb] (S original bootstrap method,
http://statwww.epfl.ch/davison/BMA/library.html),
Brian D. Ripley [ctb] (R port, bootstrap method),
Thomas Leeper [ctb] (Vectorized marginal effects,
https://thomasleeper.com/software.html)