Download and read data on United States congressional proceedings. 
    Data is read from the Library of Congress's Congress.gov Application Programming 
    Interface (<https://github.com/LibraryOfCongress/api.congress.gov/>). Functions
    exist for all version 3 endpoints, including for bills, amendments, congresses, 
    summaries, members, reports, communications, nominations, and treaties.

A tool that imports, subsets, and exports the 'CongressData' dataset. 'CongressData' contains approximately 800 variables concerning all US congressional districts with data back to 1789. The dataset tracks district characteristics, members of Congress, and the political behavior of those members. Users with only a basic understanding of R can subset this data across multiple dimensions, export their search results, identify the citations associated with their searches, and more.

Includes the 100 datasets simulated by Congreve and Lamsdell (2016)
  <doi:10.1111/pala.12236>, and analyses of the partition and quartet distance of
  reconstructed trees from the generative tree, as analysed by Smith (2019)
  <doi:10.1098/rsbl.2018.0632>.

Integrates two numerical omics data sets from the same samples using partial correlations. The output can be represented as a network, bipartite graph or a hypergraph structure. The method used in the package refers to Klaus et al (2021) <doi:10.1016/j.molmet.2021.101295>.

Geometric circle fitting with Levenberg-Marquardt (a, b, R), Levenberg-Marquardt reduced (a, b), Landau, Spath and Chernov-Lesort. Algebraic circle fitting with Taubin, Kasa, Pratt and Fitzgibbon-Pilu-Fisher. Geometric ellipse fitting with ellipse LMG (geometric parameters) and conic LMA (algebraic parameters). Algebraic ellipse fitting with Fitzgibbon-Pilu-Fisher and Taubin.

Provides a set of tools that can be used across 'data.frame' and
    'imputationList' objects.

This is a simple R package that allows to measure the stated preferences using traditional conjoint analysis method.