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.

The Central Bank of the Republic of Turkey (CBRT) provides one of 
  the most comprehensive time series databases on the Turkish economy. The 'CBRT' 
  package provides functions for accessing the CBRT's electronic data delivery 
  system <https://evds2.tcmb.gov.tr/>. It contains the lists of all data 
  categories and data groups for searching the available variables (data series).  
  As of November 3, 2024, there were 40,826 variables in the dataset. The lists 
  of data categories and data groups can be updated by the user at any time. A 
  specific variable, a group of variables, or all variables in a data group can 
  be downloaded at different frequencies using a variety of aggregation methods.

The data and meta data from Statistics
    Netherlands (<https://www.cbs.nl>) can be browsed and downloaded. The client uses
    the open data API of Statistics Netherlands.

Uses monotonically constrained Cubic Bezier Splines (CBS) to approximate latent utility functions in intertemporal choice and risky choice data. For more information, see Lee, Glaze, Bradlow, and Kable <doi:10.1007/s11336-020-09723-4>.

Compute price indices using various Hedonic and
    multilateral methods, including Laspeyres, Paasche, Fisher, and HMTS (Hedonic
    Multilateral Time series re-estimation with splicing). The central function
    calculate_price_index() offers a unified interface for running these methods
    on structured datasets. This package is designed to support index construction
    workflows for real estate and other domains where quality-adjusted price
    comparisons over time are essential. The development of this package was funded
    by Eurostat and Statistics Netherlands (CBS), and carried out by Statistics Netherlands.
    The HMTS method implemented here is described in Ishaak, Ouwehand and Remøy (2024)
    <doi:10.1177/0282423X241246617>. For broader methodological context, see Eurostat
    (2013, ISBN:978-92-79-25984-5, <doi:10.2785/34007>).