Utilities to Extract and Analyse Text Data from the Emergency
Nutrition Network Forum
person(given = "Ernest", family = "Guevarra",
email = "ernest@guevarra.io", role = c("aut", "cre"),
comment = c(ORCID = "0000-0002-4887-4415"))
The Emergency Nutrition Network or en-net forum is the go to online
forum for field practitioners requiring prompt technical advice for
operational challenges for which answers are not readily accessible in
current guidelines. The questions and the corresponding answers raised
within en-net can provide insight into what the key topics of discussion are
within the nutrition sector. This package provides utility functions for the
extraction, processing and analysis of text data from the online forum.
magrittr, rvest, xml2, tibble, dplyr, stringr, lubridate
knitr, rmarkdown, DiagrammeR, testthat, spelling
Ernest Guevarra [aut, cre] (<https://orcid.org/0000-0002-4887-4415>)

magrittr, rvest, xml2, tibble, dplyr, stringr, lubridate,
utils, tidyr

Ensemble Partial Least Squares (EnPLS) Regression
Nan Xiao <road2stat@gmail.com>, Dong-Sheng Cao <oriental-cds@163.com>,
Qing-Song Xu <dasongxu@gmail.com>
R package for ensemble partial least squares regression, a unified
framework for feature selection, outlier detection, and ensemble learning.

Ensemble Partial Least Squares Regression
Ensemble partial least squares regression, a unified
framework for feature selection, outlier detection, and ensemble learning.

Nan Xiao <road2stat@gmail.com>, Dong-Sheng Cao <oriental-cds@163.com>,
Miao-Zhu Li <miaozhu.lee@gmail.com>, Qing-Song Xu <dasongxu@gmail.com>
An algorithmic framework for measuring feature importance, outlier detection, and ensemble modeling based on (sparse) partial least squares regressions.
pls, spls, foreach, doParallel, ggplot2, reshape2

Nan Xiao <me@nanx.me>, Dong-Sheng Cao <oriental-cds@163.com>,
Miao-Zhu Li <miaozhu.li@duke.edu>, Qing-Song Xu <qsxu@csu.edu.cn>

Nan Xiao <me@nanx.me>, Dong-Sheng Cao,
Miao-Zhu Li <miaozhu.li@duke.edu>, Qing-Song Xu <qsxu@csu.edu.cn>
An algorithmic framework for measuring feature importance, outlier detection, model applicability domain evaluation, and ensemble predictive modeling with (sparse) partial least squares regressions.
pls, spls, foreach, doParallel, ggplot2, reshape2, plotly