Title: Forest Plots from Regression Models
Description: Produces forest plots using 'ggplot2' from models produced by functions
such as stats::lm(), stats::glm() and survival::coxph().

Title: Advanced Forest Plot Using 'grid' Graphics
Description: The plot allows for multiple confidence intervals per row,
The aim is to extend the use of forest plots beyond meta-analyses.
This is a more general version of the original 'rmeta' package's forestplot
function and relies heavily on the 'grid' package.

Description: A forest plot that allows for
This is a more general version of the original 'rmeta' package's forestplot()
Suggests: testthat, abind, knitr, rmarkdown, rmeta

Suggests: testthat, abind, knitr, rmarkdown

Depends: R (>= 3.5.0), grid, magrittr, checkmate
Suggests: testthat, abind, knitr, rmarkdown, rmeta, dplyr, tidyr, rlang

Depends: R (>= 3.5.0), grid, checkmate, abind
Suggests: dplyr, knitr, purrr, rmarkdown, rmeta, testthat, tibble,

Depends: R (>= 4.1.0), grid, checkmate, abind

Description: Create forest plot based on the layout of the data. Confidence interval in multiple columns by groups can be done easily. Editing plot, inserting/adding text, applying theme to the plot and much more.
Author: Alimu Dayimu [aut, cre] (<https://orcid.org/0000-0001-9998-7463>)

Suggests: rmarkdown, knitr, vdiffr, testthat (>= 3.0.0)

Suggests: rmarkdown, knitr, vdiffr, testthat (>= 3.0.0), covr

Title: Ecosystem and Canopy Structural Complexity Metrics from LiDAR
Authors@R: c(person("Jeff", "Atkins", email = "jwatkins6@vcu.edu",
person("Robert", "Fahey", role = "aut"),
person("Brady", "Hardiman", role = "aut"),
person("Chrisopher", "Gough", role = "aut"),
person("Timothy", "Morin", role = "aut"),
person("Atticus", "Stovall", role = "aut"),
person("Naupaka", "Zimmerman", role = "aut"))
Description: Provides a toolkit for calculating forest and canopy structural complexity metrics from
terrestrial LiDAR (light detection and ranging). References:  Atkins et al. In Review; Hardiman et al. 2013 <doi:10.3390/f4030537>;
Imports: ggplot2, plyr, dplyr, stats, tools