Title: loa: various plots, options and add-ins for use with lattice
Imports: MASS, grid, png, RgoogleMaps, RColorBrewer

Title: Various Options and Add-ins for Lattice
Description: This package, Lattice Options and Add-ins (or loa), contains various plots and
functions that make use of the lattice/trellis plotting framework. The plots (which include
loaPlot, GoogleMap and trianglePlot) use panelPal, a function that extends lattice and hexbin
package methods to automate plot subscripting and panel-to-panel and panel-to key
synchronization. See ?loa for further details.

synchronization/management. See ?loa for further details.

Description: Various plots and functions that make use of the lattice/trellis plotting framework.
The plots (which include 'loaPlot', 'GoogleMap' and 'trianglePlot') use panelPal(), a function that
extends 'lattice' and 'hexbin' package methods to automate plot subscript and panel-to-panel
Imports: methods, MASS, grid, png, RgoogleMaps, RColorBrewer, mgcv

The plots, which include loaPlot(), GoogleMap() and trianglePlot(), use panelPal(), a function that
Imports: methods, MASS, grid, png, RgoogleMaps, RColorBrewer, mgcv,

The plots, which include loaPlot(), RgoogleMapsPlot() and trianglePlot(), use panelPal(), a function that
Imports: methods, MASS, grid, png, RgoogleMaps, sp, rgdal,

Imports: methods, MASS, grid, png, RgoogleMaps, OpenStreetMap, sp,

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

Title: Loadings for Principal Component Analysis and Partial Least
Description: 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.