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: 0.2.7
Date: 2020-02-07
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' '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' 'Ops.r' 'reshape.r' 'solve.r'
        'sum.r' 'sums.r' 'theta.r' 'to_objective.r' 'trace.r'
        'twomoments.r' 'utils.r' 'vcov.r' 'vec.r'
NeedsCompilation: no
Packaged: 2020-02-08 05:52:43 UTC; spav
Author: Steven E. Pav [aut, cre] (<https://orcid.org/0000-0002-4197-6195>)
Repository: CRAN
Date/Publication: 2020-02-08 07:00:03 UTC
Built: R 3.6.3; ; 2021-05-12 17:39:42 UTC; windows
