Imports: data.table, foreach, glmnet, lightgbm, doRNG

Title: The C Interface to 'BLAS' Routines
Authors@R: c(person("Yi", "Pan", email = "ypan1988@gmail.com",
Description: Provides the 'cblas.h' header file as C interface to the underlying
internal 'BLAS' library in R. 'CBLAS' <https://www.netlib.org/blas/cblas.h>
is a collection of wrappers originally written by Keita Teranishi and
provides a C interface to the FORTRAN 'BLAS' library
<https://www.netlib.org/blas/>. Note that as internal 'BLAS' library
is used and only the double precision / double complex 'BLAS' routines are

Title: Conditional Binary Quantile Models
Description: Estimates conditional binary quantile models developed by Lu (2019) <doi:10.1017/pan.2019.29>. The estimation procedure is implemented based on Markov chain Monte Carlo methods.
Imports: methods, Formula, Rcpp (>= 0.12.0), rstan (>= 2.18.1)

Description: Estimates conditional binary quantile models developed by Lu (2020) <doi:10.1017/pan.2019.29>. The estimation procedure is implemented based on Markov chain Monte Carlo methods.

Title: Simulation, Estimation and Segmentation of Composite Based
Description: The composites are linear combinations of their indicators in composite based structural equation models. Structural models are considered consisting of two blocks. The indicators of the exogenous composites are named by X, the indicators of the endogenous by Y. Reflective relations are given by arrows pointing  from the composite to their indicators. Their values are called loadings.  In a reflective-reflective scenario all indicators have loadings. Arrows are pointing to their indicators only from the endogenous composites in  the formative-reflective scenario. There are no loadings at all in the formative-formative scenario. The covariance matrices are computed for these three scenarios. They can be used to simulate these models. These models can also be estimated and a segmentation procedure is included as well.

Title: Statistics Netherlands (CBS) Open Data API Client
Maintainer: Edwin de Jonge <edwindjonge@gmail.com>
Description: The data and meta data from Statistics
Netherlands (www.cbs.nl) can be browsed and downloaded. The client uses
the open data API of Statistics Netherlands.