Interface to easily access the National Institute of
Geographic and Forestry Information open-source data for any area of
interest in France via WFS (shapefile) and WMS (raster) web services
<https://geoservices.ign.fr/services-web-experts>.
curl, dplyr, httr, magrittr, sf, stars, stringr, tidyr, xml2
covr, DT, knitr, rmarkdown, testthat (>= 3.0.0), tmap, vcr
(>= 0.6.0), webmockr

curl, dplyr, httr, magrittr, sf, stars, tidyr, xml2

checkmate, curl, dplyr, httr, httr2, magrittr, sf, stars,
tidyr, xml2

Interface to easily access the National Institute of
Geographic and Forestry Information open-source data from Geoservice
website for any area of interest in France via WFS (shapefile) and WMS
(raster) web services
<https://geoservices.ign.fr/services-web-experts>.
checkmate, curl, dplyr, httr2, magrittr, sf (>= 1.0-7), stars
(>= 0.5-5), tidyr, xml2
covr, DT, httptest2, knitr, rmarkdown, testthat (>= 3.0.0),
tmap

archive, checkmate, curl, dplyr, httr2, magrittr, methods, sf
(>= 1.0-7), terra, xml2
covr, DT, httptest2, knitr, rmarkdown, testthat (>= 3.0.0),
tmap, stars, purrr

archive, checkmate, dplyr, geojsonsf, httr2, magrittr,
methods, sf (>= 1.0-7), terra, xml2
covr, httptest2, knitr, rmarkdown, tmap, testthat (>= 3.0.0),

Calculate Upcoming Birthday Dates of Github Repos
person("Bohdan", "Khomtchouk", , "bohdan@stanford.edu", role = c("aut", "cre"))
Software creation is a pretty big deal!  A repository's initial commit date can be thought of as its birthday.  Next time, drop in and wish a developer (any Github username) a happy birthday of their repo(s).  Or maybe just toast to the upcoming anniversary of your own software!  The software life cycle is too short not to celebrate!

There are two interesting games in this package, one is 2048 games(for windows), using up and down to control the direction until there is a 2048 figure. And the other is 'what to eat today',preparing for people who choose difficulties, including most of the delicious Cantonese cuisine.

Package for haplotype data simulation. Haplotypes are generated such that their
allele frequencies and linkage disequilibrium coefficients match those estimated from an input data set.