Imports: stats, causaldata, boot, multcomp, geepack

Title: Make, Update, and Query Binary Causal Models
Authors@R: c(person("Clara", "Bicalho", email = "clarabmcorreia@gmail.com", role = c("ctb")),
person("Jasper", "Cooper", email = "jjc2247@columbia.edu", role = c("ctb")),
person("Macartan", "Humphreys", email = "mh2245@columbia.edu", role = c("aut")),
person("Alan", "Jacobs", email = "alan.jacobs@ubc.ca", role = c("aut")),
person("Merlin", "Heidemanns", email = "mnh2123@columbia.edu ", role = c("ctb")),
person("Lily", "Medina", email = "lilymiru@gmail.com", role = c("aut" , "cre")),
person("Julio", "Solis", email = "juliosolisar@gmail.com", role = c("ctb")),
person("Georgiy", "Syunyaev", email = "gs2716@columbia.edu", role = c("ctb")))
Description: Users can declare binary causal models, update beliefs about causal types given data and calculate arbitrary estimands.  Model definition makes use of 'dagitty' functionality. Updating is implemented in 'stan'. The approach used in 'CausalQueries' is a generalization of the 'biqq' models described in "Mixing Methods: A Bayesian Approach" (Humphreys and Jacobs, 2015, <DOI:10.1017/S0003055415000453>). The conceptual extension makes use of work on probabilistic causal models described in Pearl's Causality (Pearl, 2009, <DOI:10.1017/CBO9780511803161>).
Depends: dplyr, methods, R (>= 3.4.0), Rcpp (>= 0.12.0)
Imports: dagitty, gtools, stats, randomizr, rlang (>= 0.2.0), rstan (>=
Suggests: testthat, rmarkdown, knitr, DeclareDesign, covr
Packaged: 2020-05-28 23:07:58 UTC; lilymedina

person("Till", "Tietz", email = "ttietz2014@gmail.com", role = c("aut","cre")),
person("Lily", "Medina", email = "lilymiru@gmail.com", role = c("aut")),

Title: Analysis utilities for binary classification and Causata users.
Author: Justin Hemann, David Barker, Suzanne Weller, Jason McFall
Description: The Causata package provides utilities for extracting data
from the Causata application, training binary classification
models, and exporting models as PMML for scoring.
Imports: XML, R.utils, rjson, RMySQL, RCurl, stringr, yaml, boot,