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'
