R package to estimate age-depth models from stratigraphic and sedimentological data, and transform complex data between the time and stratigraphic domain.
Niklas Hohmann Utrecht University email: n.h.hohmann [at] uu.nl Web page: uu.nl/staff/NHohmann Orcid: 0000-0003-1559-1838
You can install the package from CRAN. For this, run
install.packages("admtools")
in R. To install the package from GitHub, first install the remotes package
install.packages("remotes")
Then, run
remotes::install_github(repo = "MindTheGap-ERC/admtools",
build_vignettes = TRUE,
ref = "HEAD",
dependencies = TRUE)
To install the latest stable version. To install the version under development, use
remotes::install_github(repo = "MindTheGap-ERC/admtools",
build_vignettes = TRUE,
ref = "dev",
dependencies = TRUE)
After installation, you can load the package using
library("admtools")
To get started, have a look at the available vignettes via
browseVignettes(package = "admtools") # opens in Browser
#or
vignette(package = "admtools")
A good place to start reading is the introductory vignette, available via
vignette("admtools")
GPL-3.0, see LICENSE file for license text.
Copyright 2023 Netherlands eScience Center and Utrecht University
For contribution guidelines see the CONTRIBUTING.md file
To cite the package, use
or run
citation("admtools")
in R. Alternatively, you can use the information in the CITATION.cff file, or generate it using the "cite this repository" button on GitHub.
This package uses data from
Hohmann, Niklas; Koelewijn, Joël R.; Burgess, Peter; Jarochowska, Emilia. 2024. "Identification of the mode of evolution in incomplete carbonate successions." BMC Ecology and Evolution, 24, 113. DOI: 10.1186/s12862-024-02287-2.
Hohmann, Niklas, Koelewijn, Joël R.; Burgess, Peter; Jarochowska, Emilia. 2023. "Identification of the Mode of Evolution in Incomplete Carbonate Successions - Supporting Data." Open Science Framework. https://doi.org/10.17605/OSF.IO/ZBPWA, published under the CC-BY 4.0 license.
The authors acknowledge the contribution of the CycloNet project, funded by the Research Foundation Flanders (FWO, grant no. W000522N)
Funded by the European Union (ERC, MindTheGap, StG project no 101041077). Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Council. Neither the European Union nor the granting authority can be held responsible for them.
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