Sparse matrices in RcppArmadillo can be a very useful resource to work with, especially when you are dealing with social networks. Here I provide a couple of examples in which we can take advantage of their structure by using iterators.
I’m a Chilean working and getting a Ph.D. at USC on Biostatistics at the Department of Preventive Medicine with Prof. Kayla de la Haye and Prof. Paul Marjoram. My interests are in computational statistics and scientific software development. Most recently, my research has focused on the development of statistical methods for both phylogenetics and social network analysis. You can take a look at my résumé here.
Some quick links
ERGMitos, netdiffuseR, twitterreport, rgexf, parallel, ABCoptim, Center for Applied Network Analysis
Ph.D. in Biostatistics, 2017-
University of Southern California
M.Sc. in Economics, 2016
California Institute of Technology
M.A. in Economics and Public Policy, 2010
Universidad Adolfo Ibáñez, Chile
Mar 20, 2019, Invited speaker at SONIC (Northwestern University)
Jan 3, 2019, NetSciX Conference, 2019
Dec 20, 2018, Instituto Milenio Fundamento de los datos
Dec 12, 2018, satRday Santiago 2018
Nov 29, 2018, North American Social Networks Conference, 2018
Sep 12, 2018, CAIS
Aug 13, 2018, R Bootcamp for Scientific Computing
Aug 7, 2018, USC’s High Performance Computing Center Workshops
Mar 29, 2018, The “Happy Scientist” Seminar Series
Jul 27, 2017, Stata Conference, 2017
Sparse matrices in RcppArmadillo can be a very useful resource to work with, especially when you are dealing with social networks. Here I provide a couple of examples in which we can take advantage of their structure by using iterators.
Finally, after a long wait, the R packages googlePublicData (more than 2 years since the last update!) and ABCoptim (roughly a year since the last update) have new versions on CRAN.
Parallel lets you run Stata faster, sometimes faster than MP itself. By organizing your job in several Stata instances, parallel allows you to work with out-of-the-box parallel computing.
The aphylo R package implements a phylogenetic model for gene functional prediction that I have been developing as part of my doctoral disertation.
Empirical statistical analysis, visualization and simulation of diffusion and contagion processes on networks.