Read, Plot and Analyse Output from the DEPONS Model
Methods for analyzing population dynamics and movement tracks simulated using  the DEPONS model <https://www.depons.eu>, and for manipulating input raster files.
raster, methods, sp, utils, grDevices, xml2

Methods for analyzing population dynamics and movement tracks simulated using the DEPONS model <https://www.depons.eu>, and for manipulating input raster files and shipping routes.
raster, methods, sp, utils, grDevices, xml2, rgdal, rgeos,
jsonlite

Jacob Nabe-Nielsen and Caitlin K. Frankish

Discrete event simulation (DES) involves modeling of systems
having discrete, i.e. abrupt, state changes. For instance, when a job
arrives to a queue, the queue length abruptly increases by 1.  This
package is an R implementation of the event-oriented approach to DES;
see the tutorial in Matloff (2008)
<http://heather.cs.ucdavis.edu/~matloff/156/PLN/DESimIntro.pdf>.

Estimation of Diagonal Elements of Sparse Precision-Matrices
c(person("Arnak", "Dalalyan", role = c("aut"),
email = "Arnak.Dalalyan@ensae.fr"),
person("Samuel", "Balmand", role = c("aut","cre"),
email = "Samuel.Balmand@ensg.eu"))
Arnak Dalalyan [aut], Samuel Balmand [aut, cre]
Several estimators of the diagonal elements of a sparse precision
(inverse covariance) matrix from a sample of Gaussian vectors for a
given matrix of estimated marginal regression coefficients.
To install package 'gurobi', instructions at
http://user.gurobi.com/download/gurobi-optimizer and
http://www.gurobi.com/documentation/6.0/refman/r_api_overview.html.

Several estimators of the diagonal elements of a sparse precision
(inverse covariance) matrix from a sample of Gaussian vectors for a
given matrix of estimated marginal regression coefficients.
To install gurobi, follow the instructions at
http://user.gurobi.com/download/gurobi-optimizer and
http://www.gurobi.com/documentation/6.0/refman/r_api_overview.html.

Several estimators of the diagonal elements of a sparse precision
(inverse covariance) matrix from a sample of Gaussian vectors for a
given matrix of estimated marginal regression coefficients. Moreover, a robust estimator
of the precision matrix is proposed.
To install package 'gurobi', instructions at
<http://user.gurobi.com/download/gurobi-optimizer> and
<http://www.gurobi.com/documentation/6.0/refman/r_api_overview.html>.
MASS, Matrix, graph, RBGL, SparseM, stats, methods