progress, jagsUI, ggrepel, geofacet, ggplot2, stringr,
grDevices, rgdal, dplyr, sf, tools, latticeExtra, rappdirs,
sbtools
The North American Breeding Bird Survey (BBS) is a long-running
program that seeks to monitor the status and trends of the breeding birds in
North America. Since its start in 1966, the BBS has accumulated over 50 years
of data for over 500 species of North American Birds. Given the temporal and
spatial structure of the data, hierarchical Bayesian models are used to assess
the status and trends of these 500+ species of birds. 'bbsBayes' allows you to perform
hierarchical Bayesian analysis of BBS data. You can run a full
model analysis for one or more species that you choose, or you can take
more control and specify how the data should be stratified, prepared
for 'JAGS', or modelled. The functions provided here allow you to replicate
analyses performed by the United State Geological Survey (USGS, see Link
and Sauer (2011) <doi:10.1525/auk.2010.09220>) and Canadian Wildlife Service
(CWS, see Smith and Edwards (2020) <doi:10.1101/2020.03.26.010215>).

c(person("Brandon P.M.", "Edwards", role = c("aut", "cre"),
email = "brandonedwards3@cmail.carleton.ca"),
person("Adam C.", "Smith", role = "aut",
email = "adam.smith2@canada.ca"))
progress, jagsUI, ggrepel, geofacet, ggplot2, stringr,
grDevices, rgdal, dplyr, sf, tools, latticeExtra, rappdirs,
sbtools, mgcv

progress, jagsUI, ggrepel, geofacet, ggplot2, stringr,
grDevices, dplyr, sf, tools, rappdirs, sbtools, mgcv

c(
person("Mark", "Myatt", email = "mark@brixtonhealth.com", role = "aut"),
person("Ernest", "Guevarra", email = "ernestgmd@gmail.com", role = c("ctb", "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). The method was
developed by Accion Contra la Faim, Brixton Health, Concern Worldwide,
Global Alliance for Improved Nutrition, UNICEF Sierra Leone,  UNICEF Sudan
and Valid International. It has been tested by the Centers for Disease
Control (CDC) using infant and young child feeding (IYCF) data. 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.
Mark Myatt [aut],
Ernest Guevarra [ctb, cre]