Authors@R: c( person("Bob", "Rudis", email = "bob@rud.is", role =
person("Niels", "Lohmann", role = "aut", comment = "C++ json
parser"), person("Deepak", "Bandyopadhyay", role = "aut", comment
= "C++ gzstream"), person("Lutz", "Kettner", role = "aut",
comment = "C++ gzstream"), person("Neal", "Fultz", role = "ctb",
comment = "Rcpp integration"), person("Maarten", "Demeyer", role = "ctb",
Description: Streaming 'JSON' ('ndjson') has one 'JSON' record per-line
and many modern 'ndjson' files contain large numbers of records.
These constructs may not be columnar in nature, but it is often
useful to read in these files and "flatten" the structure out to
enable working with the data in an R 'data.frame'-like context.
Functions are provided that make it possible to read in plain
'ndjson' files or compressed ('gz') 'ndjson' files and either
validate the format of the records or create "flat" 'data.table'

Author: Antti Arppe, Petar Milin and R. Harald Baayen, with
Description: Naive discriminative learning implements learning and
classification models based on the Rescorla-Wagner equations

Author: Cyrus Shaoul, Antti Arppe, Peter Hendrix, Petar Milin, and R. Harald Baayen.
Description: Naive discriminative learning implements learning and classification models based on the Rescorla-Wagner equations and their equilibrium equations.

Authors@R: c(person("Antti Arppe", role = "aut", email = "arppe@ualberta.ca"), person("Peter Hendrix",role = "aut", email = "peter.hendrix@gmail.com"), person("Petar Milin", role = "aut", email = "pmilin@gmail.com"), person("R. Harald Baayen", role = "aut", email = "harald.baayen@uni-tuebingen.de"), person("Cyrus Shaoul", role = c("aut","cre"), email = "cyrus.shaoul@uni-tuebingen.de"))

Authors@R: c(person("Antti Arppe", role = "aut", email = "arppe@ualberta.ca"),
person("Peter Hendrix", role = "aut", email = "peter.hendrix@gmail.com"),
person("Petar Milin", role = "aut", email = "pmilin@gmail.com"),
person("R. Harald Baayen", role = "aut", email = "harald.baayen@uni-tuebingen.de"),
person("Tino Sering", role = c("aut", "cre"), email = "konstantin.sering@uni-tuebingen.de"),
person("Cyrus Shaoul", role = "aut", email = "cyrus@cyrus.org"))
classification models based on the Rescorla-Wagner equations and their
Packaged: 2015-11-17 12:23:40 UTC; kfs-studium