Small Area Estimation for Rao and Yu Model
Maria Dolores Esteban Lefler, Domingo Morales Gonzalez, Agustin Perez Martin
A complete set of functions to calculate several EBLUP (Empirical Best Linear Unbiased Predictor) estimators and their mean squared errors. All estimators are based on an area-level linear mixed model introduced by Rao and Yu in 1994 (see documentation). The REML method is used for fitting this model.

Overloads the glm function in the stats package so that a
test for the existence of the maximum likelihood estimate is
included in the fitting procedure for binary regression models.

Overloads the glm function in the stats package so that
a test for the existence of the maximum likelihood estimate is included
in the fitting procedure for binary regression models.

c(
person('Andy', 'Aldersley', email='a.aldersley@imperial.ac.uk', role=c('aut')),
person('David', 'Orme', email='d.orme@imperial.ac.uk', role=c('aut','cre'),
comment=c(ORCID='0000-0002-7005-1394')))
The SAFE Project (<https://www.safeproject.net/>) is a large
scale ecological experiment in Malaysian Borneo that explores the impact
of habitat fragmentation and conversion on ecosystem function and services.
Data collected at the SAFE Project is made available under a common format
through the Zenodo data repository and this package makes it easy to
discover and load that data into R.
Andy Aldersley [aut],
David Orme [aut, cre] (<https://orcid.org/0000-0002-7005-1394>)

readxl, jsonlite, chron, curl, sf, igraph

readxl, jsonlite, chron, curl, sf, httr, igraph
knitr, rmarkdown, ape, testthat (>= 2.1.0)

person(given = "Sam",
family = "Edwardes",
role = c("aut", "cre"),
email = "edwardes.s@gmail.com")
The goal of 'safejoin' is to guarantee that when performing joins extra rows are not added to your data. 'safejoin' provides a wrapper around 'dplyr::left_join' that will raise an error when extra rows are unexpectedly added to your data. This can be useful when working with data where you expect there to be a many to one relationship but you are not certain the relationship holds.