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dfdr  

Automatic Differentiation of Simple Functions
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("dfdr", "0.2.0")



Attach the package and use:
library("dfdr")
Maintained by
Konrad Krämer
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-12-21
Latest Update: 2023-02-23
Description:
Implementation of automatically computing derivatives of functions (see Mailund Thomas (2017) ). Moreover, calculating gradients, Hessian and Jacobian matrices is possible.
How to cite:
Konrad Krämer (2022). dfdr: Automatic Differentiation of Simple Functions. R package version 0.2.0, https://cran.r-project.org/web/packages/dfdr. Accessed 08 Mar. 2026.
Previous versions and publish date:
0.1.0 (2022-12-21 17:20), 0.2.0 (2023-02-23 11:30)
Other packages that cited dfdr R package
View dfdr citation profile
Other R packages that dfdr depends, imports, suggests or enhances
Complete documentation for dfdr
Functions, R codes and Examples using the dfdr R package
Some associated functions: d . fcts . fcts_add_fct . gradient . hessian . jacobian . simplify . 
Some associated R codes: differentiate.R . fct_deriv_pairs.R . gradient.R . helper.R . jacobian.R . simplify.R .  Full dfdr package functions and examples
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