The Full Bayesian Evidence Test, Full Bayesian Significance Test
and the e-Value

Provides access to a range of functions for computing and visualizing the Full Bayesian Significance Test (FBST) and the e-value for testing a sharp hypothesis against its alternative, and the Full Bayesian Evidence Test (FBET) and the (generalized) Bayesian evidence value for testing a composite (or interval) hypothesis against its alternative. The methods are widely applicable as long as a posterior MCMC sample is available.

Standard Evaluation-Based Multivariate Function Composition
c(person("Xiaofei (Susan)", "Wang", email="xiaofei.wang@yale.edu",
role = c("aut", "cre")),
person("Michael", "Kane", email="michael.kane@yale.edu", role="aut"))
Provides a streamlined, standard evaluation-based approach to multivariate function composition. Allows for chaining commands via a forward-pipe operator, %>%.
Xiaofei (Susan) Wang [aut, cre],
Michael Kane [aut]

Floating Catchment Area (FCA) Methods to Calculate Spatial
Accessibility
c(person(given = "Etienne",
family = "Grueebler",
role = c("aut", "cre"),
email = "package@etienne.app"),
person(given = "Merlin",
family = "Unterfinger",
role = "aut",
comment = c(ORCID = "0000-0003-2020-2366")),
person(given = "Reto",
family = "Joerg",
role = "ctb"))
Perform various floating catchment area methods to calculate a
spatial accessibility index (SPAI) for demand point data. The distance
matrix used for weighting is normalized in a preprocessing step using
common functions (gaussian, gravity, exponential or logistic).
Etienne Grueebler [aut, cre],
Merlin Unterfinger [aut] (<https://orcid.org/0000-0003-2020-2366>),
Reto Joerg [ctb]

c(
person(given = "Domingo",
family = "Lopez Rodriguez",
role = c("aut", "cre"),
email = c("dominlopez@uma.es", "neuroimaginador@gmail.com"),
comment = c(ORCID = "0000-0002-0172-1585")),
person(given = "Angel",
family = "Mora",
role = "aut",
email = "amorabonilla@gmail.com"),
person(given = "Jesus",
family = "Dominguez",
role = "aut"),
person(given = "Ana",
family = "Villalon",
role = "aut"),
person(given = "Ian",
family = "Johnson",
role = "ctb")
)
Provides tools to perform fuzzy formal concept analysis, presented in Wille (1982) <doi:10.1007/978-3-642-01815-2_23> and in Ganter and Obiedkov (2016) <doi:10.1007/978-3-662-49291-8>.
It provides functions to load and save a formal context, extract its concept lattice and implications.
In addition, one can use the implications to compute semantic closures of fuzzy sets and, thus, build recommendation systems.
stringr, hasseDiagram, RColorBrewer, scales, arules, tictoc,
knitr, Matrix, Rcpp, methods
Domingo Lopez Rodriguez [aut, cre]
(<https://orcid.org/0000-0002-0172-1585>),
Angel Mora [aut],
Jesus Dominguez [aut],
Ana Villalon [aut],
Ian Johnson [ctb]