Package: sparseHessianFD
Type: Package
Title: Numerical Estimation of Sparse Hessians
Version: 0.3.3.4
Date: 2019-03-05
Authors@R: person(family="Braun", given="Michael", role=c("aut","cre","cph"), email="braunm@smu.edu")
Maintainer: Michael Braun <braunm@smu.edu>
URL: http://www.smu.edu/Cox/Departments/FacultyDirectory/BraunMichael
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 (>= 1.2.12), 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: 6.1.1
NeedsCompilation: yes
Packaged: 2019-03-05 21:12:20 UTC; braunm
Author: Michael Braun [aut, cre, cph]
Repository: CRAN
Date/Publication: 2019-03-06 00:00:03 UTC
Built: R 3.6.3; x86_64-w64-mingw32; 2020-08-05 03:43:18 UTC; windows
Archs: i386, x64
