Title: Bayesian Inference for Directed Acyclic Graphs (BiDAG)
Author: Polina Suter [aut, cre], Jack Kuipers [aut]

Title: Bayesian Inference for Directed Acyclic Graphs
for binary data or categorical data. The algorithms may provide the maximum a posteriori
(MAP) graph or a sample (a collection of DAGs) from the posterior distribution given the data.
All algorithms are also applicable to structure learning of dynamic Bayesian networks.
J. Kuipers, P. Suter and G. Moffa (2018) <arXiv:1803.07859v2>,
Imports: Rcpp (>= 0.12.7), methods, pcalg

All algorithms are also applicable for structure learning and sampling for dynamic Bayesian networks.
Imports: Rcpp (>= 0.12.7), methods, pcalg, Rgraphviz, graph

Imports: Rcpp (>= 0.12.7), methods, pcalg, graph

Imports: Rcpp (>= 0.12.7), methods, pcalg, graph, Rgraphviz

Packaged: 2021-02-15 12:18:15 UTC; polinasuter

Packaged: 2021-04-27 14:17:37 UTC; polinasuter

Packaged: 2021-04-29 17:44:22 UTC; polinasuter

Imports: Rcpp (>= 0.12.7), methods, graph, Rgraphviz, RBGL, pcalg,
Packaged: 2021-07-27 11:02:53 UTC; polinasuter

Packaged: 2021-11-29 13:12:08 UTC; polinasuter

Packaged: 2022-04-13 07:04:10 UTC; polinasuter

Packaged: 2022-05-08 21:41:06 UTC; polinasuter

Packaged: 2022-05-16 08:25:19 UTC; polinasuter

Packaged: 2022-06-19 22:20:31 UTC; polinasuter

Packaged: 2022-06-26 18:07:37 UTC; polinasuter

Packaged: 2022-08-05 09:54:32 UTC; polinasuter

Title: Calculates the bidimensional regression between two 2D
Authors@R: c(person("Claus-Christian Carbon", "Developer", role =
c("aut", "cre"), email = "ccc@experimental-psychology.com"),
person("Claus-Christian Carbon", "Developer", role = "aut"),
person("Claus-Christian Carbon", "User", role = "ctb", email =
Description: An S3 class with a method for calculates the bidimensional
regression between two 2D configurations following the approach

Authors@R: person("Claus-Christian", "Carbon", role = c("aut", "cre"), email ="ccc@experimental-psychology.com")
Description: An S3 class with a method for calculates the bidimensional regression between two 2D configurations following the approach by Tobler (1965).