Package: sparseHessianFD
Type: Package
Title: Numerical Estimation of Sparse Hessians
Version: 0.3.3.5
Date: 2021-09-22
Authors@R: person(family="Braun", given="Michael", role=c("aut","cre","cph"), email="braunm@smu.edu",comment=c(ORCID="0000-0003-4774-2119"))
Maintainer: Michael Braun <braunm@smu.edu>
URL: https://braunm.github.io/sparseHessianFD/,
        https://github.com/braunm/sparseHessianFD/
BugReports: https://github.com/braunm/trustOptim/issues/
Description: Estimates Hessian of a scalar-valued function, and returns it
    in a sparse Matrix format. The sparsity pattern must be known in advance. The
    algorithm is especially efficient for hierarchical models with a large number of
    heterogeneous units.  See Braun, M. (2017) <doi:10.18637/jss.v082.i10>.
License: MPL (== 2.0)
LazyData: true
Depends: R (>= 3.4.0)
Imports: Matrix (>= 1.3), methods, Rcpp (>= 0.12.13)
Suggests: testthat, numDeriv, scales, knitr, xtable, dplyr
LinkingTo: Rcpp, RcppEigen (>= 0.3.3.3.0)
Encoding: UTF-8
VignetteBuilder: knitr
SystemRequirements: C++11
RoxygenNote: 7.1.2
NeedsCompilation: yes
Packaged: 2021-09-23 23:28:45 UTC; braunm
Author: Michael Braun [aut, cre, cph] (<https://orcid.org/0000-0003-4774-2119>)
Repository: CRAN
Date/Publication: 2021-09-24 04:30:04 UTC
Built: R 4.0.5; x86_64-w64-mingw32; 2022-04-18 01:31:09 UTC; windows
Archs: i386, x64
