Title: Financial Analysis Tools Using Data from 'Alpha Vantager'
person("Edward", "Wei", role = c("aut", "cre", "cph"), email = "edwwei2020@gmail.com")
Description: To pull data from 'ALPHA VANTAGE' <https://www.alphavantage.co/>,
use the av_api_key() function from 'alphavantager' for inserting your API key.
This is a complement to the 'alphavantager' package from CRAN. Contains
commonly used quantitative finance tools. 'avfintools' stands for
'ALPHA VANTAGE' Finance Tools, as it depends on sourcing financial data from
the 'ALPHA VANTAGE' <https://www.alphavantage.co/documentation/> API.
Imports: methods(>= 4.2.0), alphavantager(>= 0.1.2), dplyr(>= 1.0.9),

Authors@R: c(person("Fatih Sunor", role = c("aut", "cre"),
Description: Rank overlap is a metric to measure the relation between two sets of ranked items. This package is a convenience to calculate average rank overlap across different settings.

Title: A computational biologist's toolkit to get data from avidaDB
Description: It provides users of the R programming language with easy-to-use
tools for performing complex queries on avidaDB, a semantic database that
stores genomic and transcriptomic data of self-replicating computer programs
(known as digital organisms) that mutate and evolve within a user-defined
computational environment. The functions send SPARQL queries to the
3.0.6), circlize (>= 0.4.11), RColorBrewer, R6
Author: Miguel A. Fortuna [aut] (<https://orcid.org/0000-0002-8374-1941>),

Title: A Computational Biologist’s Toolkit To Get Data From ‘avidaDB’
Description: Easy-to-use tools for performing complex queries on 'avidaDB', a
semantic database that stores genomic and transcriptomic data of
self-replicating computer programs (known as digital organisms) that mutate
and evolve within a user-defined computational environment.

Title: A Computational Biologist’s Toolkit To Get Data From 'avidaDB'

Title: Weekly Hass Avocado Sales Summary
Description: Provides a weekly summary of Hass Avocado sales for the
contiguous US from January 2017 to November 2020.
See the package website for more information, documentation,
and examples. Data source: Haas Avocado Board
Suggests: dplyr, purrr, ggplot2, janitor, knitr, rmarkdown, lubridate,