Suggests: boot, testthat, cmprsk, survival, dplyr, ggplot2, parallel,

Imports: Hmisc, stringr, rms, sandwich, stats, nlme, methods, htmlTable
(>= 2.0.0), magrittr, knitr, Epi, utils, graphics, grDevices

In addition to the descriptive methods, there are functions for the robust covariance matrix provided by the 'sandwich'
Imports: broom, Epi, dplyr, glue, graphics, grDevices, htmlTable (>=
2.0.0), Hmisc, knitr, methods, nlme, purrr, rlang, rms,
sandwich, stats, stringr, tibble, tidyr, tidyselect, utils
Depends: Gmisc (>= 1.0.3), forestplot, R (>= 4.1.0)
Suggests: boot, testthat, cmprsk, survival, ggplot2, parallel,

Title: Fitting and Forecasting of Grey Model
Description: Testing, Implementation and Forecasting of Grey Model (GM(1, 1)). For method details see Hsu, L. and Wang, C. (2007). <doi:10.1016/j.techfore.2006.02.005>.

Title: Shiny App for Grey Forecasting Model
Depends: R (>= 4.0.0), dplyr, Metrics, cmna, plotly
Imports: shiny, shinydashboard, shinyWidgets, ggplot2, readxl,

Title: Convert Spatial Grids to Polygons
Maintainer: Jason C. Fisher <jfisher@usgs.gov>
Description: This package converts a spatial object from class

Description: Converts a spatial object from class SpatialGridDataFrame to

Authors@R: person(given=c("Jason", "C."), family="Fisher", role=c("aut", "cre"), email="jfisher@usgs.gov")

Description: The functionality of this package has been deprecated;
please use the Grid2Polygons function in the inlmisc package instead.
Converts a spatial object from class sp::SpatialGridDataFrame to
Imports: inlmisc (>= 0.3.0), methods, raster, rgeos, sp

Title: Joint Discretization of Data on a Grid that Preserves Clusters
Description: Discretize continuous multivariate data using a grid
that captures the joint distribution via preserving clusters in
the original data. Joint grid discretization is applicable as a
data transformation step in methods inferring dependency by
association, function, or causality with assuming a parametric
Suggests: Ckmeans.1d.dp, FunChisq, knitr, testthat (>= 2.1.0),