Geographically Weighted Logistic Elastic Net Regression
Fit a geographically weighted logistic elastic net regression.

Fit a geographically weighted logistic elastic net regression. Detailed explanations can be found in Yoneoka et al. (2016): New algorithm for constructing area-based index with geographical heterogeneities and variable selection: An application to gastric cancer screening <doi:10.1038/srep26582>.
doParallel, geosphere, sp, spgwr, glmnet, foreach, methods,
stats

c(person("Chao", "Li", role = c("aut", "cre"),
email = "chaoli0394@gmail.com",
comment = c(ORCID = "0000-0002-6854-4456")),
person("Shunsuke", "Managi", role = "aut",
comment = c(ORCID = "0000-0001-7883-1427")))
Geographically weighted panel regression is grounded in a branch of spatial statistics. Using geographically weights, the geographically weighted panel regression is try to solve the residuals from panel regression clustering spatially. To investigate whether the residuals cluster spatially, the Moran's I test is also improved. Furthermore, three local statistic tests are contained to help the users select model. The major references are Fotheringham et al. (2003, ISBN:978-0-470-85525-6) and Beenstock and Felsenstein (2019, ISBN:978-3-030-03614-0).
data.table, doParallel, dplyr, foreach, GWmodel, iterators,
lmtest, methods, parallel, plm, sp, stats

A.J. Saez-Castillo <ajsaez@ujaen.es>, J. Rodriguez-Avi
<jravi@ujaen.es>, A. Conde-Sanchez <aconde@ujaen.es>, M.J.
Olmo-Jimenez <mjolmo@ujaen.es>, A.M. Martinez-Rodriguez
<ammartin@ujaen.es>
GWRM is a package for fitting Generalized Waring
Regression Models. It includes the dataset and the example of
Rodriguez-Avi, J; Conde-Sanchez, A; Saez-Castillo, A.J.,
Olmo-Jimenez, M. J. and Martinez Rodriguez, A. M.(2009). A
generalized Waring regression model for count data.
Computational Statistics and Data Analysis, 53, pp. 3717-3725.

Generalized Waring Regression Model for Count Data
c(
person("Antonio Jose", "Saez-Castillo", role = c("aut", "cre"), email = "ajsaez@ujaen.es"),
person("Silverio", "Vilchez-Lopez", role = "aut", email = "silverio.vilchez@gmail.com"),
person("Maria Jose", "Olmo-Jimenez", role = "aut", email = "mjolmo@ujaen.es"),
person("Jose", "Rodriguez-Avi", role = "aut", email = "jravi@ujaen.es"),
person("Antonio", "Conde-Sanchez", role = "aut", email = "aconde@ujaen.es"),
person("Ana Maria", "Martinez-Rodriguez", role = "aut", email = "ammartin@ujaen.es"))
Statistical functions to fit, validate and describe a Generalized
Waring Regression Model (GWRM).
Antonio Jose Saez-Castillo [aut, cre],
Silverio Vilchez-Lopez [aut],
Maria Jose Olmo-Jimenez [aut],
Jose Rodriguez-Avi [aut],
Antonio Conde-Sanchez [aut],
Ana Maria Martinez-Rodriguez [aut]