A computational tool to describe patterns in black and white images from natural structures. 'bwimage' implemented functions for exceptionally broad subject. For instance, 'bwimage' provide examples that range from calculation of canopy openness, description of patterns in vertical vegetation structure, to patterns in bird nest structure.

Bandwidth selectors for local linear quantile regression, including cross-validation and plug-in methods. The local linear quantile regression estimate is also implemented.

An interface to the Bayesian Weighted Sums model implemented in 'RStan'.
    It estimates the summed effect of multiple, often moderately to highly correlated,
    continuous predictors. Its applications can be found in analysis of exposure mixtures.
    The model was proposed by Hamra, Maclehose, Croen, Kauffman, and
    Newschaffer (2021) <doi:10.3390/ijerph18041373>.
    This implementation includes an extension to model binary outcome.

Performs the 'Baumgartner-Weiss-Schindler' two-sample test of equal
   probability distributions, <doi:10.2307/2533862>. Also performs
   similar rank-based tests for equal probability distributions due to
   Neuhauser <doi:10.1080/10485250108832874> and
   Murakami <doi:10.1080/00949655.2010.551516>.

Tools to design best-worst scaling designs (i.e., balanced incomplete block designs) and
    to analyze data from these designs, using aggregate and individual methods such as: difference 
    scores, Louviere, Lings, Islam, Gudergan, & Flynn (2013) <doi:10.1016/j.ijresmar.2012.10.002>; 
    analytical estimation, Lipovetsky & Conklin (2014) <doi:10.1016/j.jocm.2014.02.001>; empirical 
    Bayes, Lipovetsky & Conklin (2015) <doi:10.1142/S1793536915500028>; Elo, Hollis (2018) 
    <doi:10.3758/s13428-017-0898-2>; and network-based measures.

Functions to get and download city bike data from 
    the website and API service of each city bike service in Norway. The
    package aims to reduce time spent on getting Norwegian city bike data,
    and lower barriers to start analyzing it. The data is retrieved from
    Oslo City Bike, Bergen City Bike, and Trondheim City Bike. The data is 
    made available under NLOD 2.0 <https://data.norge.no/nlod/en/2.0>.