Title: Easy Downloading Capabilities for the Members' Name Information
Description: An API package for the Members' Name Information Service operated by the UK parliament. Documentation for the API itself can be found here: <http://data.parliament.uk/membersdataplatform/default.aspx>.
Packaged: 2016-12-29 14:23:50 UTC; evanodell

Packaged: 2017-02-06 23:13:31 UTC; evanodell

Imports: httr, jsonlite, utils, dplyr, tibble, Rcpp (>= 0.12.10)
Packaged: 2017-04-15 18:18:54 UTC; evanodell

Imports: httr, jsonlite, utils, dplyr, tibble, stringi, Rcpp (>=
Packaged: 2017-06-01 20:50:30 UTC; evanodell

Description: An API package for the Members' Name Information Service operated
by the UK parliament. Documentation for the API itself can be found
Imports: httr, jsonlite, utils, dplyr, tibble, stringi, Rcpp, janitor,
Packaged: 2021-04-03 16:56:20 UTC; evanodell

Title: The Matrix-Normal Inverse-Wishart Distribution
Authors@R: c(person("Martin", "Lysy", role = c("aut", "cre"),
Description: Density evaluation and random number generation for the Matrix-Normal Inverse-Wishart (MNIW) distribution, as well as the the Matrix-Normal, Matrix-T, Wishart, and Inverse-Wishart distributions.  Core calculations are implemented in a portable (header-only) C++ library, with matrix manipulations using the 'Eigen' library for linear algebra.  Also provided is a Gibbs sampler for Bayesian inference on a random-effects model with multivariate normal observations.

Description: Perform FlexBoost in R. FlexBoost is a newly suggested algorithm based on AdaBoost by adjusting adaptive loss functions. Not only FlexBoost but also other machine learning algorithms (e.g. Support Vector Machines) will be added. For more details on FlexBoost see Jeon, Y. S., Yang, D. H., & Lim, D. J. (2019) <doi:10.1109/access.2019.2938356>.

Title: Moderated Nonlinear Factor Analysis
Author: Alexander Robitzsch [aut,cre] (<https://orcid.org/0000-0002-8226-3132>)
Conducts moderated nonlinear factor analysis (e.g., Curran et al., 2014,
Regularization methods are implemented for assessing non-invariant items.
Currently, the package includes dichotomous items and unidimensional
item response models. Extensions will be included in future package