c(person("Micheal. C. J.", "Kao", role = c("aut", "cre"),
email = "michael.kao@fao.org"), person("Markus", "Gesmann", rol
= "ctb", comment = "Author of getWDI"), person("Filippo",
"Gheri", rol = "ctb"))

Michael C. J. Kao <michael.kao@fao.org>, Markus Gesmann, Filippo Gheri
The package hosts a list of functions to download, manipulate,
construct and aggregate agricultural statistics provided by the FAOSTAT
database of the Food and Agricultural Organization of the United Nations.

The package hosts a list of functions to automatically download
statistics from FAOSTAT (database of the Food and Agricultural Organization
of the United Nations) and WDI (database of the World Bank), and to perform
some harmonization operations.

Download Data from the FAOSTAT Database of the Food and
Agricultural Organization (FAO) of the United Nations
A list of functions to download statistics from FAOSTAT (database
of the Food and Agricultural Organization of the United Nations) and WDI
(database of the World Bank), and to perform some harmonization operations.

A list of functions to download statistics from FAOSTAT (database of the Food and Agricultural Organization of the United Nations) and WDI (database of the World Bank), and to perform some harmonization operations.

Download Data from the FAOSTAT Database of the Food and Agricultural Organization (FAO) of the United Nations.
A list of functions to download statistics from FAOSTAT (database of the FAO <http://www.fao.org/faostat/en/#data>)
and WDI (database of the World Bank <https://data.worldbank.org/>), and to perform some harmonization operations.

Download Data from the FAOSTAT Database of the Food and Agricultural Organization (FAO) of the United Nations.
A list of functions to download statistics from FAOSTAT (database of the FAO <https://www.fao.org/faostat/>)
and WDI (database of the World Bank <https://data.worldbank.org/>), and to perform some harmonization operations.

Fast and Robust Deconvolution of Tumor Infiltrating Lymphocyte
from Expression Profiles using Least Trimmed Squares
c(
person("Yuning", "Hao",  role = c("aut")),
person("Ming", "Yan",  role = c("aut")),
person("Blake R.", "Heath",  role = c("aut")),
person("Yu L.", "Lei",  role = c("aut")),
person("Yuying", "Xie", email = "xyy@egr.msu.edu",
role = c("aut","cre")))
Using the idea of least trimmed square, it could automatically detects and removes outliers from data before estimating the coefficients. It is a robust machine learning tool which can be applied to gene-expression deconvolution technique. Yuning Hao, Ming Yan, Blake R. Heath, Yu L. Lei and Yuying Xie (2019) <doi:10.1101/358366>.
Yuning Hao [aut],
Ming Yan [aut],
Blake R. Heath [aut],
Yu L. Lei [aut],
Yuying Xie [aut, cre]