Imports: htmlwidgets, shiny (>= 1.7.0), tcltk (>= 4.1.0)

Title: Get Amazon Ads Data via the 'Windsor.ai' API
Description: Collect  your data on digital marketing campaigns from Amazon Ads using the 'Windsor.ai' API <https://windsor.ai/api-fields/>.

Title: Additive Models for Business Applications
Description: Additive models with a strong technical focus on term
objects, model selection (semiparametric), missing explanatory
values and interpretation. These models are restricted to
vaguely-normal responses, plus have very little support for
correlated explanatories and statistical inference. This

Description: An incomplete package for using additive models in
business. The models (currently) emphasize semiparametric
models (predictors), interpretation and missing explanatory

Description: A package for using additive models in business. This

Description: A package for using additive models in business, with an
emphasis on functional estimates and missing values. This

Description: A package with two interrelated parts: Firstly, a
framework for additive models, emphasizing (1) functional
estimates, (2) robustness to missing values and (3)
preferential estimation and; Secondly, a framework for trend

Title: Automated Model Benchmarking Package for the Canadian Land
Description: Functions that quantify how well the Canadian Land Surface Scheme Including Biogeochemical Cycles (CLASSIC) reproduces land surface processes when compared against reference data. To summarize model performance across different statistical metrics, this package employs a skill score system that was originally developed by Collier et. al., (2018) <doi:10.1029/2018MS001354> .
Imports: classInt, doParallel, foreach, latex2exp, ncdf4, parallel,
raster, rgeos, scico, sp, spatial.tools, stats, utils, viridis,

Title: Automated Model Benchmarking for the Canadian Land Surface
Imports: classInt, doParallel, foreach, Hmisc, latex2exp, ncdf4,
parallel, raster, rgdal, rgeos, scico, sp, stats, utils,

Title: Automated Model Benchmarking R Package