Rcpp (>= 0.12.10), plyr, FNN, dplyr, grid, ggrepel, irlba,
ica, Rtsne, ggplot2, riverplot, foreach, parallel, doParallel,
mclust, stats, psych, RANN, uwot, rlang, utils, hdf5r

A toolset for working with lists as dataset,
including filtering, mapping, grouping, sorting, updating, and
many other functions, which allow functional programming
style applied in list operations.

A set of tools for working with list objects
A set of tools for working with lists as dataset,
including filtering, mapping, grouping, sorting, updating, and
many other functions. It recommends functional programming
in list operations.

A set of tools for working with lists as dataset,
including filtering, mapping, grouping, sorting, updating,
searching, and many other functions. It recommends functional
programming and collection pipeline in list operations.

A Toolbox for Non-Tabular Data Manipulation
Provides a set of functions for data manipulation with
list objects, including mapping, filtering, grouping, sorting,
updating, searching, and other useful functions. Most functions
are designed to be pipeline friendly so that data processing with
lists can be chained.

A Toolbox for Non-tabular Data Manipulation

Robust fitting of linear model which can take response in matrix form.

Robust Regression with Data Driven Tuning Parameter
Data driven approach for robust regression estimation.
See Wang et al. (2007), <doi:10.1198/106186007X180156>.

Data driven approach for robust regression estimation in homoscedastic and heteroscedastic context. See Wang et al. (2007), <doi:10.1198/106186007X180156> regarding homoscedastic framework.

You-Gan Wang <you-gan.wang@qut.edu.au>, Benoit Liquet <benoit.liquet@qut.edu.au>, Aurelien Callens <aurelien.callens@univ-pau.fr>

You-Gan Wang, Benoit Liquet, Aurelien Callens and Na Wang.

Estimates fixed effects and predicts random effects in two
and three level random effects nested models.
MASS, quantreg, nlme, mgcv, magic, stringr

Rank-based Estimation and Prediction in Random Effects Nested
Models
Yusuf Bilgic, Herb Susmann and Joseph McKean
Estimates robust rank-based fixed effects and predicts robust random effects in two- and three- level random effects nested models.
MASS, quantreg, nlme, mgcv, stringr, magic