c(
person("Mark", "Myatt", email = "mark@brixtonhealth.com", role = "aut"),
person("Ernest", "Guevarra", comment = c(ORCID = "0000-0002-4887-4415"),
email = "ernestgmd@gmail.com", role = c("aut", "cre")))
The blocked weighted bootstrap (BBW) is an estimation technique
for use with data from two-stage cluster sampled surveys in which either
prior weighting (e.g. population-proportional sampling or PPS as used in
Standardized Monitoring and Assessment of Relief and Transitions or SMART
surveys) or posterior weighting (e.g. as used in rapid assessment method or
RAM and simple spatial sampling method or S3M surveys) is implemented. See
Cameron et al (2008) <doi:10.1162/rest.90.3.414> for application of
bootstrap to cluster samples. See Aaron et al (2016)
<doi:10.1371/journal.pone.0163176> and Aaron et al (2016)
<doi:10.1371/journal.pone.0162462> for application of the blocked weighted
bootstrap to estimate indicators from two-stage cluster sampled surveys.
knitr, rmarkdown, testthat, spelling, covr
Mark Myatt [aut],
Ernest Guevarra [aut, cre] (<https://orcid.org/0000-0002-4887-4415>)

c(person("Ricardo", "de Matos Simoes", role=c("aut","cre"),
email="r.dematossimoes@qub.ac.uk"), person("Frank",
"Emmert-Streib", role=c("aut","cre"),
email="f.emmert-streib@qub.ac.uk"))
Ricardo de Matos Simoes and Frank Emmert-Streib
Ricardo de Matos Simoes <r.dematossimoes@qub.ac.uk>
R (>= 2.10.0), minet, c3net, infotheo, igraph, Matrix, lattice
This package implements the BC3NET algorithm for gene
regulatory network inference (de Matos Simoes and Frank
Emmert-Streib, Bagging Statistical Network Inference from
Large-Scale Gene Expression Data, PLoS ONE 7(3): e33624)

R (>= 2.10.0), c3net, infotheo, igraph, Matrix, lattice

Gene Regulatory Network Inference with Bc3net
c(person("Ricardo", "de Matos Simoes", role=c("aut","cre"),
email="ricardo_dematossimoes@dfci.harvard.edu"),
person("Frank", "Emmert-Streib", role=c("aut"),
email="v@bio-complexity.com"))
Ricardo de Matos Simoes [aut, cre],
Frank Emmert-Streib [aut]
Ricardo de Matos Simoes <ricardo_dematossimoes@dfci.harvard.edu>
Implementation of the BC3NET algorithm for gene regulatory network inference (de Matos Simoes and Frank Emmert-Streib, Bagging Statistical Network Inference from Large-Scale Gene Expression Data, PLoS ONE 7(3): e33624).