Title: Robust Structured Regression via the L2 Criterion
Description: An implementation of a computational framework for performing robust structured regression with the L2 criterion from Chi and Chi (2021+).
person("Jocelyn", "Chi", email="jocetchi@gmail.com", role=c("aut", "cre")),

Description: An implementation of a computational framework for performing robust structured regression with the L2 criterion
from Chi and Chi (2021+). Improvements using the majorization-minimization (MM) principle from Liu, Chi, and
person("Xiaoqian", "Liu", email="xiaoqian.liu1025@gmail.com", role=c("aut", "ctb")),
Imports: isotone, cobs, ncvreg, Matrix, signal, robustbase
Suggests: knitr, rmarkdown, ggplot2, latex2exp

Description: Contains Lioness Algorithm (LA) for finding optimal designs over continuous design space, optimal latin Hypercube Designs, and optimal order-of-addition designs. LA is a brand new nature-inspired meta-heuristic optimization algorithm. Detailed methodologies of LA and its implementation on numerical simulations can be found at Hongzhi Wang, Qian Xiao and Abhyuday Mandal (2021) <arXiv:2010.09154>.
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, devtools

Description: Contains Lioness Algorithm (LA) for finding optimal designs over continuous design space, optimal Latin hypercube designs, and optimal order-of-addition designs. LA is a brand new nature-inspired meta-heuristic optimization algorithm. Detailed methodologies of LA and its implementation on numerical simulations can be found at Hongzhi Wang, Qian Xiao and Abhyuday Mandal (2021) <arXiv:2010.09154>.

Title: Interface to the Lake Multi-Scaled Geospatial and Temporal
Description: Client for programmatic access to the Lake
Multi-scaled Geospatial and Temporal database <https://lagoslakes.org>, with functions
for accessing lake water quality and ecological context data for the US.
Suggests: testthat, knitr, rmarkdown, devtools, prettydoc, R.rsp
Author: Joseph Stachelek [aut, cre] (0000-0002-5924-2464),

stringr (>= 1.2.0), tibble, tidyr, memoise, rlang, progress
Suggests: testthat, knitr, rmarkdown, devtools, R.rsp, printr, ggplot2
Author: Joseph Stachelek [aut, cre] (<https://orcid.org/0000-0002-5924-2464>),