Narrow down the number of models to look at in model selection using the confidence envelopes based on the minimum ZIC (Generalized Information Criteria) values for regression and time series data. Functions involve the computation of multivariate normal-probabilities with covariance matrices based on minimum ZIC inverting the CDF of the minimum ZIC. It involves both the computation of singular and non-singular probabilities as described in Genz (1992) <[https:doi.org/10.2307/1390838]https:doi.org/10.2307/1390838>.

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.

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.