Implementation of the LoTTA (Local Trimmed Taylor Approximation) model 
    described in "Bayesian Regression Discontinuity Design with Unknown Cutoff" 
    by Kowalska, van de Wiel, van der Pas (2024) <doi:10.48550/arXiv.2406.11585>.

A curated collection of Howard Phillips 
    Lovecraft's complete stories, collected for the purpose of text 
    analysis.

Performs the trimmed k-means clustering algorithm with lower memory use. It also provides a number of utility functions such as BIC calculations.

Creates lowpass filters which are commonly used in ion channel recordings. It supports generation of random numbers that are filtered, i.e. follow a model for ion channel recordings, see <doi:10.1109/TNB.2018.2845126>. Furthermore, time continuous convolutions of piecewise constant signals with the kernel of lowpass filters can be computed.

Solves quadratic programming problems where the Hessian is represented as the product of two matrices. Thanks to Greg Hunt for helping getting this version back on CRAN. The methods in this package are described in: Ormerod, Wand and Koch (2008) "Penalised spline support vector classifiers: computational issues" <doi:10.1007/s00180-007-0102-8>.

Implementation of Low Walsh Figure of Merit (WAFOM) sequence
        based on Niederreiter-Xing sequence <DOI:10.1007/978-3-642-56046-0_30>.

Implementation of Low Walsh Figure of Merit (WAFOM) sequence
        based on Sobol sequence.

Provides the method for computing the local partial autocorrelation function for locally stationary wavelet time series from Killick, Knight, Nason, Eckley (2020) <doi:10.1214/20-EJS1748>.

Provides functions to prepare, visualize, and analyse diachronic
    network data on local political actors, with a particular focus on
    the development of local party systems and identification of actor groups.
    Formalizes and automates a continuity diagram method that has been previously
    applied in research on Czech local politics, e.g. Bubenicek and Kubalek (2010,
    ISSN:1803-8220), Kubalek and Bubenicek (2012, ISSN:1803-8220), and Cmejrek,
    Bubenicek, and Copik (2010, ISBN:978-80-247-3061-5). The package also
    includes several example datasets derived from Czech municipal
    elections, compiled from official election results, field research, and
    previously published case studies on Czech local politics.