person(family = "Brazilian Jurimetrics Association",
Portuguese, see <http://www.abjur.org.br/en/> for more information) is
institutions.  This package implements general purpose tools used by
ABJ, such as functions for sampling and basic manipulation of
Brazilian lawsuits identification number. It also implements functions
for text cleaning, such as accentuation removal.
Imports: devtools, dplyr, furrr, future, glue, httr, magrittr,
progress, purrr, readr, rlang, rstudioapi, scales, stringi,

Imports: dplyr, magrittr, purrr, rlang, rstudioapi, stringi, stringr,

person("Caio", "Lente", , "clente@abj.org.br", role = c("aut", "cre"),
person("Julio", "Trecenti", , "julio.trecenti@gmail.com", role = "aut",
person("Katerine", "Witkoski", , "kwitkoski@abj.org.br", role = "ctb",
person("Associação Brasileira de Jurimetria", role = c("cph", "fnd"))
Description: The Brazilian Jurimetrics Association (ABJ in Portuguese, see
<https://abj.org.br/> for more information) is a non-profit
This package implements general purpose tools used by ABJ, such as
functions for sampling and basic manipulation of Brazilian lawsuits
identification number. It also implements functions for text cleaning,
Author: Caio Lente [aut, cre] (<https://orcid.org/0000-0001-8473-069X>),

Description: Supplies tools for running agent-based models (ABM) in R, as discussed in Gochanour et al. (2021) <doi:10.1101/2021.09.15.460374> The package contains two movement functions, each of which is based on the Ornstein-Uhlenbeck (OU) model (Ornstein & Uhlenbeck, 1930) <doi:10.1103/PhysRev.36.823>. It also contains several visualization and data summarization functions to facilitate the presentation of simulation results.
Imports: sp, rgdal, table1, googledrive, swfscMisc, geosphere,
kableExtra, gtsummary, ggplot2, gstat, purrr, rnaturalearth,
rnaturalearthdata, sf, tmap, raster, utils, stats, methods,
Packaged: 2021-09-21 23:57:33 UTC; BGOCHANOUR

Packaged: 2022-08-12 20:26:55 UTC; BGOCHANOUR

Description: Uses a graphical modeling formulation to construct
multidimensional Bayesian regression models. Currently
implemented is a multidimensional analogue of logistic
regression - a binomial generalized linear model with logit
link - with a greedy search heuristic using Laplace
approximations to estimate marginal likelihoods and marginal