Auxiliary functions and data sets for _Ecological Models
and Data_, a book presenting maximum likelihood estimation and
related topics for ecologists (ISBN 978-0-691-12522-0)
R2WinBUGS, rgl, ellipse, coda, bbmle, reshape

R2WinBUGS, rgl, ellipse, coda, bbmle, reshape, SuppDists

Support Functions and Data for "Ecological Models and Data"
Auxiliary functions and data sets for "Ecological Models and Data", a book presenting maximum likelihood estimation and related topics for ecologists (ISBN 978-0-691-12522-0).
R2WinBUGS, ellipse, SuppDists, numDeriv, testthat, rgl

c(person("Ben","Bolker",email="bolker@mcmaster.ca", role=c("aut","cre")),
person("Sang Woo","Park",role="ctb"),
person("James","Vonesh",role="dtc"),
person("Jacqueline","Wilson",role="dtc"),
person("Russ","Schmitt",role="dtc"),
person("Sally","Holbrook",role="dtc"),
person("James D.","Thomson",role="dtc"),
person("R. Scot","Duncan",role="dtc")
)
R2jags, ellipse, SuppDists, numDeriv, testthat, rgl
Ben Bolker [aut, cre],
Sang Woo Park [ctb],
James Vonesh [dtc],
Jacqueline Wilson [dtc],
Russ Schmitt [dtc],
Sally Holbrook [dtc],
James D. Thomson [dtc],
R. Scot Duncan [dtc]

R2WinBUGS, rgl, ellipse, coda, bbmle, reshape, SuppDists,
numDeriv

R2WinBUGS, rgl, ellipse, coda, bbmle, reshape, SuppDists,
numDeriv, testthat

Auxiliary functions and data sets for _Ecological Models and Data_, a book presenting maximum likelihood estimation and related topics for ecologists (ISBN 978-0-691-12522-0)
R2WinBUGS, ellipse, SuppDists, numDeriv, testthat

Estimating and Mapping Disaggregated Indicators
c(person("Ann-Kristin", "Kreutzmann", role="aut", email="ann-kristin.kreutzmann@fu-berlin.de"),
person("Soeren", "Pannier", role="cre", email="soeren.pannier@fu-berlin.de"),
person("Natalia", "Rojas-Perilla", role="aut", email = "natalia.rojas@fu-berlin.de"),
person("Timo", "Schmid", role="aut", email = "timo.schmid@fu-berlin.de"),
person("Nikos", "Tzavidis", role="aut", email = "N.TZAVIDIS@soton.ac.uk"),
person("Matthias", "Templ", role="aut", email = "templ@statistik.tuwien.ac.at"))
Functions that support estimating, assessing and mapping regional disaggregated indicators. So far, estimation methods comprise the model-based approach Empirical Best Prediction (see "Small area estimation of poverty indicators" by Molina and Rao (2010)<doi:10.1002/cjs.10051>), as well as their precision estimates. The assessment of the used model is supported by a summary and diagnostic plots. For a suitable presentation of estimates, map plots can be easily created. Furthermore, results can easily be exported to excel.
nlme, FNN, moments, ggplot2, MuMIn, gridExtra, openxlsx,
ggmap, reshape2, graphics, stats, parallelMap, HLMdiag,
parallel, simFrame
Ann-Kristin Kreutzmann [aut],
Soeren Pannier [cre],
Natalia Rojas-Perilla [aut],
Timo Schmid [aut],
Nikos Tzavidis [aut],
Matthias Templ [aut]