Title: Regression Models for Bounded and Binomial Responses
Description: Functions to fit regression models for bounded (e.g., proportions and rates) and binomial responses. In case of bounded responses, available models are the flexible beta (Migliorati, S., Di Brisco, A. M., Ongaro, A. (2018) <doi:10.1214/17-BA1079>), the variance-inflated beta (Di Brisco, A. M., Migliorati, S., Ongaro, A. (2020) <doi:10.1177/1471082X18821213>), the beta (Ferrari, S.L.P., Cribari-Neto, F. (2004) <doi:10.1080/0266476042000214501>), and their augmented versions to handle the presence of zero/one values (Di Brisco, A. M., Migliorati, S. (2020) <doi:10.1002/sim.8406>). In case of binomial responses, available models are the flexible beta-binomial (Ascari, R., Migliorati, S. (2021) <doi:10.1002/sim.9005>), the beta-binomial, and the binomial. Inference is dealt with a Bayesian approach based on the Hamiltonian Monte Carlo (HMC) algorithm (Gelman, A., Carlin, J. B., Stern, H. S., Rubin, D. B. (2014) <doi:10.1201/b16018>). Besides, functions to compute residuals, posterior predictives, goodness-of-fit measures, convergence diagnostics, and graphical representations are provided.
Packaged: 2022-09-16 08:27:09 UTC; roberto.ascari

Description: An easy way to conduct flexible scan.
Monte-Carlo method is used to test the spatial clusters given the cases, population, and shapefile.
A table with formal style and a map with clusters are included in the result report.
The method can be referenced at: Toshiro Tango and Kunihiko Takahashi (2005) <doi:10.1186/1476-072X-4-11>.
Imports: smerc, sp, spdep, methods, graphics

Imports: smerc, sp, spdep, methods, graphics, spatialreg

Authors@R: person("Koki", "Ando", email = "koki.25.ando@gmail.com", role = c("aut", "cre"))
Description: Provides an interface to the Flickr API <https://www.flickr.com/services/api/>
and allows R users to download data on Flickr.
Imports: magrittr, RCurl, jsonlite, stringr

person("Koki", "Ando", email = "koki.25.ando@gmail.com", role = c("aut", "cre")),
person("Eli", "Pousson", role = c("aut", "ctb"))
Imports: httr2, janitor, magrittr, rlang, utils