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bayfoxr  

Global Bayesian Foraminifera Core Top Calibration
View on CRAN: Click here


Download and install bayfoxr package within the R console
Install from CRAN:
install.packages("bayfoxr")

Install from Github:
library("remotes")
install_github("cran/bayfoxr")

Install by package version:
library("remotes")
install_version("bayfoxr", "0.0.1")



Attach the package and use:
library("bayfoxr")
Maintained by
Steven Malevich
[Scholar Profile | Author Map]
First Published: 2019-02-06
Latest Update: 2019-02-06
Description:
A Bayesian, global planktic foraminifera core top calibration to modern sea-surface temperatures. Includes four calibration models, considering species-specific calibration parameters and seasonality.
How to cite:
Steven Malevich (2019). bayfoxr: Global Bayesian Foraminifera Core Top Calibration. R package version 0.0.1, https://cran.r-project.org/web/packages/bayfoxr. Accessed 04 Apr. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited bayfoxr R package
View bayfoxr citation profile
Other R packages that bayfoxr depends, imports, suggests or enhances
Complete documentation for bayfoxr
Functions, R codes and Examples using the bayfoxr R package
Some associated functions: bassriver . get_available_forams . get_draws . plot.prediction . predict_d18oc . predict_seatemp . prediction . predictplot . quantile.prediction . target_timeseries_pred . 
Some associated R codes: data.R . modelparams.R . plot.R . predict.R .  Full bayfoxr package functions and examples
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