Package: madness
Maintainer: Steven E. Pav <shabbychef@gmail.com>
Authors@R: c(person(c("Steven", "E."), "Pav", 
    role=c("aut","cre"),
    email="shabbychef@gmail.com",
    comment = c(ORCID = "0000-0002-4197-6195")))
Version: 0.2.9
Date: 2026-07-14
License: LGPL-3
Title: Automatic Differentiation of Multivariate Operations
BugReports: https://github.com/shabbychef/madness/issues
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'.
Depends: R (>= 3.2.0)
Imports: Matrix, matrixcalc, expm, methods
Suggests: testthat, dplyr, tidyr, lubridate, SharpeR, sandwich,
        formatR, knitr
URL: https://github.com/shabbychef/madness
LazyData: true
VignetteBuilder: knitr
Collate: 'AllClass.r' 'utils.r' 'Ops.r' 'bind.r' 'blockrep.r'
        'coerce.r' 'data.r' 'det.r' 'diag.r' 'eigen.r' 'elwise.r'
        'madness_pkg.r' 'matwise.r' 'max.r' 'norm.r' 'numderiv.r'
        'reshape.r' 'solve.r' 'sum.r' 'sums.r' 'theta.r'
        'to_objective.r' 'trace.r' 'twomoments.r' 'vcov.r' 'vec.r'
RoxygenNote: 7.3.3
NeedsCompilation: no
Packaged: 2026-07-14 20:42:06 UTC; spav
Author: Steven E. Pav [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-4197-6195>)
Repository: CRAN
Date/Publication: 2026-07-14 21:10:02 UTC
Built: R 4.6.1; ; 2026-09-02 03:00:26 UTC; windows
