Package: sparseHessianFD
Type: Package
Title: Numerical Estimation of Sparse Hessians
Version: 0.3.2
Date: 2016-12-23
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.
License: MPL (== 2.0)
LazyData: true
Depends: R (>= 3.2.3)
Imports: Matrix (>= 1.2.4), methods, Rcpp (>= 0.12.8)
Suggests: testthat, numDeriv, scales, knitr, xtable, dplyr
LinkingTo: Rcpp, RcppEigen (>= 0.3.2.9.0)
VignetteBuilder: knitr
SystemRequirements: C++11
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2016-12-25 23:03:49 UTC; braunm
Author: Michael Braun [aut, cre, cph]
Repository: CRAN
Date/Publication: 2016-12-26 10:34:34
