(>= 1.3.3), htmlwidgets, jsonify (>= 1.1.1), magrittr, Rcpp,

rapidjsonr, Rcpp, sfheaders (>= 0.2.2), spatialwidget (>=

(<https://docs.mapbox.com/mapbox-gl-js/api/>), a javascript library for interactive maps,
and 'Deck.gl' (<https://deck.gl/>), a javascript library which uses 'WebGL' for
LinkingTo: BH, colourvalues, geojsonsf (>= 1.3.3), geometries, jsonify
(>= 1.1.1), rapidjsonr, Rcpp, sfheaders (>= 0.2.2),

Title: Interactive Editing of Spatial Data in R
Description: Suite of interactive functions and helpers for selecting and editing
person("Kenton", "Russell", role = c("aut"))
Imports: dplyr, htmltools (>= 0.3), htmlwidgets, jsonlite, leaflet,
leaflet.extras, mapview, miniUI, sf, shiny
Packaged: 2017-06-29 18:13:49 UTC; Kent and Laurie

leaflet.extras, mapview, miniUI, sf (>= 0.5-2), shiny
Packaged: 2017-07-14 22:18:14 UTC; Kent and Laurie

2.0.1), leaflet.extras (>= 1.0), mapview, miniUI, sf (>=

person("Lorenzo", "Busetto", role = c("aut"))
2.0.1), leaflet.extras (>= 1.0), leafpm, mapview, miniUI, sf

person("Lorenzo", "Busetto", role = c("aut")),
person("Josh", "O'Brien", role = c("ctb")),
person("Jakob", "Gutschlhofer", role = c("ctb"))
Imports: dplyr, htmltools (>= 0.3), htmlwidgets, jsonlite, leafem,
leaflet (>= 2.0.1), leaflet.extras (>= 1.0), leafpm, mapview,
methods, miniUI, raster, scales, sf (>= 0.5-2), shiny, sp

Title: A Tool for PH/MAP Parameter Estimation
Description: 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"),

The tool is based on the following researches:
Imports: R6, deformula, Matrix, methods, Rcpp
Suggests: covr, ggplot2, testthat (>= 3.0.0)

Title: Construct Consensus Genetic Maps and Estimate Recombination
Author: Dennis van Muijen, Ram Kumar Basnet, Nathalie J. Dek
Maintainer: Dennis van Muijen <d.van.muijen@rijkzwaan.nl>
Description: 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.
Imports: dplyr, ggplot2, mgcv, doParallel, parallel, foreach, stringi,
plotly, visNetwork, LPmerge, lazyeval, tidyr