Functions and Examples in Sample Size Calculation in
        Clinical Research.

Provides the "r, q, p, and d" distribution functions for the triangle distribution.  Also includes maximum likelihood estimation of parameters.

Measuring angles between points in a landscape is much easier
    than measuring distances. When the location of three points is known the
    position of the observer can be determined based solely on the angles between
    these points as seen by the observer. This task (known as triangulation)
    however requires onerous calculations - these calculations are automated by this
    package.

Automates translating the instructions of 'iatgen' generated qsf
             (Qualtrics survey files) to other languages using either officially
             supported or user-supplied translations (for tutorial see Santos
             et al., 2023 <doi:10.17504/protocols.io.kxygx34jdg8j/v1>).

Compositional data consisting of three-parts can be color
  mapped with a ternary color scale. Such a scale is provided by
  the tricolore packages with options for discrete and continuous
  colors, mean-centering and scaling. See 
  Jonas Schöley (2021) "The centered ternary balance scheme. A technique
  to visualize surfaces of unbalanced three-part compositions"
  <doi:10.4054/DemRes.2021.44.19>,
  Jonas Schöley, Frans Willekens (2017) "Visualizing compositional data
  on the Lexis surface" <doi:10.4054/DemRes.2017.36.21>, and
  Ilya Kashnitsky, Jonas Schöley (2018) "Regional population structures
  at a glance" <doi:10.1016/S0140-6736(18)31194-2>.

Fits 2D and 3D geometric transformations via 'Stan' probabilistic programming engine ( 
    Stan Development Team (2021) <https://mc-stan.org>). Returns posterior distribution for individual
    parameters of the fitted distribution. Allows for computation of LOO and WAIC information criteria 
    (Vehtari A, Gelman A, Gabry J (2017) <doi:10.1007/s11222-016-9696-4>) as well as Bayesian R-squared
    (Gelman A, Goodrich B, Gabry J, and Vehtari A (2018) <doi:10.1080/00031305.2018.1549100>).