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madness  

Automatic Differentiation of Multivariate Operations
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("madness", "0.2.8")



Attach the package and use:
library("madness")
Maintained by
Steven E. Pav
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-12-15
Latest Update: 2023-08-21
Description:
An object that supports automatic differentiation of matrix- and multidimensional-valued functions with respect to multidimensional independent variables. Automatic differentiation is via 'forward accumulation'.
How to cite:
Steven E. Pav (2015). madness: Automatic Differentiation of Multivariate Operations. R package version 0.2.8, https://cran.r-project.org/web/packages/madness. Accessed 25 Jun. 2026.
Previous versions and publish date:
0.1.0 (2015-12-15 20:49), 0.2.0 (2016-01-20 09:12), 0.2.1 (2017-04-14 16:49), 0.2.2 (2017-04-26 07:37), 0.2.3 (2018-02-16 00:15), 0.2.4 (2018-08-27 08:22), 0.2.5 (2018-08-29 10:12), 0.2.6 (2019-04-19 07:10), 0.2.7 (2020-02-08 08:00)
Other packages that cited madness R package
View madness citation profile
Other R packages that madness depends, imports, suggests or enhances
Complete documentation for madness
Functions, R codes and Examples using the madness R package
Some associated functions: NEWS . accessor-methods . arithops . as.madness . as . bind . blockrep . colsums . det . eigen . elwise . extract-methods . madness-class . madness-pkg . marithops . matrix.trace . matwise . max . norm . numderiv . outer . reshapes . setter-methods . show-methods . solve . stock_returns . sumprod . theta . to_objective . todiag . twomoments . vcov.madness . vec . wff3 . 
Some associated R codes: Full madness package functions and examples
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