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DESCRIPTION
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Type: Package
Package: stockplotr
Title: Tables and Figures for Stock Assessments
Version: 0.1.0
Authors@R: c(
person("Samantha", "Schiano", , "[email protected]", role = c("aut", "cre"),
comment = c(ORCID = "0009-0003-3744-6428")),
person("Sophie", "Breitbart", , "[email protected]", role = c("aut", "ctb"),
comment = c(ORCID = "0000-0001-9641-9786")),
person("Steve", "Saul", , "[email protected]", role = "aut"),
person("Kelli", "Johnson", , "[email protected]", role = "ctb",
comment = c(ORCID = "0000-0002-5149-451X")),
person("Megumi", "Oshima", , "[email protected]", role = "ctb",
comment = c(ORCID = "0000-0002-8249-1442"))
)
Maintainer: Samantha Schiano <[email protected]>
Description: Creates exploratory and finished tables and figures for stock
assessment documents from U.S. stock assessment model outputs. This
packages addresses parts of the stock assessment workflow that
interprets outputs of stock assessment models as well as allows the
analyst to create report ready tables and figures, reducing the need
to create their own and format then when adding into a report. This
package is intended to be used in conjuction with `asar`, a partially
automated template for writing various stock assessment reports.
Throughout development, we will be creating a set of standardized
figures and tables for a stock assessment report, developing functions
to produce a variety of diagonostic plots, and other helpful
materials. The advantage of using this package over others is that it
applies to a range of stock assessment model outputs and standardizes
them.
License: MIT + file LICENSE
Depends:
R (>= 2.10)
Imports:
asar,
data.table,
dplyr,
flextable,
fs,
ggplot2,
glue,
gt,
here,
kableExtra,
knitr,
naniar,
nmfspalette,
officer,
quarto,
stringr,
tibble,
tidyr,
tidyselect,
utils,
withr
Suggests:
rmarkdown,
testthat (>= 3.0.0)
VignetteBuilder:
knitr
Remotes:
nmfs-fish-tools/nmfspalette,
nmfs-ost/asar
Config/testthat/edition: 3
Config/testthat/parallel: false
Encoding: UTF-8
Language: en-US
LazyData: true
RoxygenNote: 7.3.2