Title: The Kernel Method of Test Equating

Authors@R: c(person("Björn", "Andersson", email = "bjoern.h.andersson@gmail.com", role = c("aut", "cre")), person("Kenny", "Bränberg", role = c("aut")), person("Marie", "Wiberg", role = c("aut")))
Description: Implements the kernel method of test equating as defined in von Davier, A. A., Holland, P. W. and Thayer, D. T. (2004) <doi: 10.1007/b97446> and Andersson, B. and Wiberg, M. (2017) <doi: 10.1007/s11336-016-9528-7> using the CB, EG, SG, NEAT CE/PSE and NEC designs, supporting Gaussian, logistic and uniform kernels and unsmoothed and pre-smoothed input data.

Authors@R: c(person("Björn", "Andersson", email = "bjoern.h.andersson@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-9007-2440")), person("Kenny", "Bränberg", role = c("aut")), person("Marie", "Wiberg", role = c("aut"), comment = c(ORCID = "0000-0001-5549-8262")))
Description: Implements the kernel method of test equating as defined in von Davier, A. A., Holland, P. W. and Thayer, D. T. (2004) <doi:10.1007/b97446> and Andersson, B. and Wiberg, M. (2017) <doi:10.1007/s11336-016-9528-7> using the CB, EG, SG, NEAT CE/PSE and NEC designs, supporting Gaussian, logistic and uniform kernels and unsmoothed and pre-smoothed input data.
Author: Björn Andersson [aut, cre] (<https://orcid.org/0000-0002-9007-2440>),

Title: New Kernel-Based Change-Point Detection
Description: New kernel-based test and fast tests for detecting change-points or changed-intervals where the distributions abruptly change. They work well particularly for high-dimensional data.

Title: Generalized Kernel Two-Sample Tests
Description: New kernel-based test and fast tests for testing whether two samples are from the same distribution. They work well particularly for high-dimensional data.

person("François", "Chollet", role = c("aut", "cph")),
person(family = "Google", role = c("ctb", "cph", "fnd")),
person("Yuan", "Tang", role = c("ctb", "cph")),
person("Daniel", "Falbel", role = c("ctb", "cph")),
person("Wouter", "Van Der Bijl", role = c("ctb", "cph")),
person("Martin", "Studer", role = c("ctb", "cph"))
Description: Interface to 'Keras', a high-level neural networks API which
runs on top of 'TensorFlow'. 'Keras' was developed with a focus on enabling
fast experimentation, supports both convolution based networks and recurrent
networks (as well as combinations of the two), and runs seamlessly on both
Imports: reticulate (>= 1.0), tensorflow (>= 1.3), tfruns, magrittr,
Suggests: ggplot2, testthat, knitr, rmarkdown
SystemRequirements: TensorFlow >= 1.1 (https://www.tensorflow.org/)
Packaged: 2017-07-29 18:14:00 UTC; jjallaire