methods, MASS, grid, png, RgoogleMaps, OpenStreetMap, sp,
rgdal, RColorBrewer, mgcv, plyr

Explore Intra-Event Suspended Sediment Dynamics
person("Anatoly", "Tsyplenkov", , "atsyplenkov@gmail.com", role = c("cre", "aut"),
comment = c(ORCID = "0000-0003-4144-8402"))
A collection of functions created to study water discharge
(Q) and suspended sediment concentration (SSC) relationship.
dplyr (>= 1.0.0), dygraphs, ggplot2 (>= 3.0.0), lubridate,
rlang (>= 0.2.0), tidyr, tsibble (>= 0.9.0), xts, zoo
brolgar, covr, fabletools, feasts, knitr, lifecycle, purrr,
rmarkdown, stats, testthat (>= 3.0.0), utils
Anatoly Tsyplenkov [cre, aut] (<https://orcid.org/0000-0003-4144-8402>)

Loadings for Principal Component Analysis and Partial Least
Squares
Computing principal component (Yamamoto, H. et al. (2014) <doi:10.1186/1471-2105-15-51> and Yamamoto, H. et al. (2021) <doi:10.3390/metabo11030149>)
and partial least squares loading (Yamamoto, H. (2017) <doi:10.1002/cem.2883>) and its statistical hypothesis testing.

Computing principal component loading (Yamamoto, H. et al. (2014) <doi:10.1186/1471-2105-15-51> and Yamamoto, H. et al. (2021) <doi:10.3390/metabo11030149>), partial least squares loading (Yamamoto, H. (2017) <doi:10.1002/cem.2883> and Yamamoto, H. (2022) <doi:10.1101/2022.08.30.505949>) and their statistical hypothesis testing.

Cleaner Workspaces with Shared Variable Environments
Provides intuitive functions for loading objects into
environments, encouraging less cluttered workspaces and sharing variables
with large or reusable data across users and sessions. The user
provides named variables which are loaded into the variable environment for
later retrieval.
person("Nathan", "Sheffield", email = "nathan@code.databio.org",
role = c("aut", "cre"))

Producing Load Shape with Target Peak and Load Factor
c(person("Md Riaz Ahmed", "Khan", email = "mdriazahmed.khan@jacks.sdstate.edu", role = c("aut", "cre")))
Modifying a load shape to match specific peak and
load factor is a fundamental component for various power system
planning and operation studies. This package is an efficient tool
to modify a reference load shape while matching the desired peak
and load factor. The package offers both linear and non-linear method,
described in <https://rpubs.com/riazakhan94/load_shape_match_peak_energy>.
The user can control the shape of the final load shape by regulating
certain parameters. The package provides validation metrics for
assessing the derived load shape in terms of preserving time series
properties. It also offers powerful graphics, that allows the user to
visually assess the derived load shape.