Collates Metadata for Climate Surface Stations
This package collects and downloads a variety of open GIS
datasets that can be used to characterize the surface
properties of Latitude/Longitude points. In addition, some
restricted ( registration required to download) datasets are
processed. Dataset include: distance from coast, disatnce from
airport, land cover, land use, population density, historical
populations, nightlights, impermable surfaces,urban extent,
irrigation, and blue water use.

This package collects and downloads a variety of open GIS
datasets that can be used to characterize the surface
properties of Latitude/Longitude points. In addition, some
restricted ( registration required to download) datasets are
processed. Dataset include: distance from coast, distance from
airport, land cover, land use, population density, historical
populations, nightlights, impermable surfaces,urban extent,
irrigation, and blue water use.

An Implementation of Flower Pollination Algorithm in R
Amanda Pratama Putra with contributions from Margaretha Ari Anggorowati
A nature-inspired metaheuristics algorithm based on the pollination
process of flowers. This R package makes it easy to implement the standard
flower pollination algorithm for every user. The algorithm was first developed
by Xin-She Yang in 2012 (<DOI:10.1007/978-3-642-32894-7_27>).

Network Analysis of Metabolic Pathways and Gene Based Assemblies
in Metagenomics
Functions for path based queries against 'Omics' <https://github.com/etheleon/omics-neo4j-container>, a 'NEO4J' <https://neo4j.com/> database populated with data from metagenomic surveys and their accompanying metabolic and taxonomic annotations.
IRanges, ShortRead, future, GenomicRanges, forcats, ggplot2,
purrr, gridExtra, lubridate, zoo, magrittr, stats, utils,
grDevices, parallel, RJSONIO, RCurl, igraph, rgexf, dplyr (>=
0.3.0.1), Matrix (>= 1.2-12), stringr, tidyr, shiny, base64enc,
cluster, DBI, RSQLite, data.table, httr,

Meta-analysis for Classification Data and Correction to
Imperfect Reference
This package allows doing meta-analysis for primary studies with classification outcomes in order to evaluate systematically the accuracies of classifiers, namely, the diagnostic tests. It provides functions to fit the bivariate model of Reitsma et al.(2005). Moreover, if the reference employed in the classification process isn't a gold standard, its deficit can be detected and its influence to the underestimation of the diagnostic test's accuracy can be corrected, as described in Botella et al.(2013).