c(person("Menegotto", "Joao", email = "jhrmenegotto@gmail.com", role = c("aut", "cre")))
Reads public files released by B3 - Brazil Stock Exchange and Over-the-Counter Market - <http://www.b3.com.br/en_us/market-data-and-indices/data-services/market-data/historical-data/newsletters/search-by-trading-session/search-by-trading-session/>.

Adaptive differential evolution, b6e6rl variant
This package contains b6e6rl algorithm, adaptive
differential evolution for global optimization.

bPeaks: a simple and intuitive approach for detection of basic
peaks (bPeaks) from ChIP-seq data
bPeaks is a simple approach to identify transcription
factor binding sites from ChIP-seq data. Our general philosophy
is to provide an easy-to-use tool. Instead of complex
statistical models, bPeaks uses a combination of 4 cutoffs to
mimic "good peak" properties as described by biologists who
visually inspect the ChIP-seq data on a genome browser.

bPeaks: an intuitive peak-calling strategy to detect
transcription factor binding sites from ChIP-seq data in small
eukaryotic genomes
bPeaks is a simple approach to identify transcription factor binding sites from ChIP-seq data. Our general philosophy is to provide an easy-to-use tool, well-adapted for small eukaryotic genomes (< 20 Mb). bPeaks uses a combination of 4 cutoffs (T1, T2, T3 and T4) to mimic "good peak" properties as described by biologists who visually inspect the ChIP-seq data on a genome browser. For yeast genomes, bPeaks calculates the proportion of peaks that fall in promoter sequences. These peaks are good candidates as transcription factor binding sites.

Estimating the Accuracy and the Status of Point Occurrence
Records
c(person("Eduardo", "Arlé", email = "eduardo.arle@idiv.de", role = c("aut", "cre")),
person("Alexander","Zizka",email = "alexaner.zizka@idiv.de", role = "ctb"))
Automated assessment of accuracy and geographical status of georeferenced biological data. The methods rely on reference regions, namely checklists and range maps. Includes functions to obtain data from the Global Biodiversity Information Facility <https://www.gbif.org/> and from the Global Inventory of Floras and Traits <https://gift.uni-goettingen.de/home>. Alternatively, the user can input their own data. Furthermore, provides easy visualisation of the data and the results through the plotting functions. Especially suited for large datasets. The reference for the methodology is: Arlé et al. (under review).
data.table, geojsonio, graphics, grDevices, jsonlite,
maptools, methods, plotfunctions, raster, rgbif, rgeos,
rworldmap, sp, stats, testthat
Eduardo Arlé [aut, cre],
Alexander Zizka [ctb]