Provides functions to convert origin-destination data,
    represented as straight 'desire lines' in the 'sf' Simple Features
    class system, into JSON files that can be directly imported into
    A/B Street <https://www.abstreet.org>, a free and open source tool
    for simulating urban transport systems and scenarios of change
    <doi:10.1007/s10109-020-00342-2>.

An R-Shiny application to create visual abstracts for original research. A variety of user defined options and formatting are included.

Survival analysis is employed to model the time it takes for events to occur. Survival model examines the relationship between survival and one or more predictors, usually termed covariates in the survival-analysis literature. To this end, Cox-proportional (Cox-PH) hazard rate model introduced in a seminal paper by Cox (1972) <doi:10.1111/j.2517-6161.1972.tb00899.x>, is a broadly applicable and the most widely used method of survival analysis. This package can be used to estimate the effect of fixed and time-dependent covariates and also to compute the survival probabilities of the lactation of dairy animal. This package has been developed using algorithm of Klein and  Moeschberger (2003) <doi:10.1007/b97377>.

Provides functions for Bayesian A/B testing including prior elicitation
    options based on Kass and Vaidyanathan (1992) <doi:10.1111/j.2517-6161.1992.tb01868.x>. 
    Gronau, Raj K. N., & Wagenmakers (2021) <doi:10.18637/jss.v100.i17>.

Fit and predict with the high-dimensional principal fitted
        components model.  This model is described by Cook, Forzani, and Rothman (2012)
	<doi:10.1214/11-AOS962>.

Infers directional conservative causal core (gene) networks. It is an advanced version of the algorithm C3NET by providing directional network. Gokmen Altay (2018) <doi:10.1101/271031>, bioRxiv.

Offers an interactive function for the detection of breakpoints in series.

Functionality to allow users to easily colour plots with the colour
    palettes of various academic institutions.