Allows users to derive multi-objective weights from pairwise comparisons, which
    research shows is more repeatable, transparent, and intuitive other techniques. These weights
    can be rank existing alternatives or to define a multi-objective utility function for optimization.

Design and analyze two-stage randomized trials with a continuous
    outcome measure. The package contains functions to compute the required 
    sample size needed to detect a given preference, treatment, and selection 
    effect; alternatively, the package contains functions that can report the 
    study power given a fixed sample size. Finally, analysis functions are 
    provided to test each effect using either summary data (i.e. means, 
    variances) or raw study data <doi:10.18637/jss.v094.c02>.

Convenient structures for creating, sourcing, reading, writing
  and manipulating ordinal preference data. Methods for writing to/from PrefLib
  formats. See Nicholas Mattei and Toby Walsh "PrefLib: A Library of Preference
  Data" (2013) <doi:10.1007/978-3-642-41575-3_20>.

Generates design matrix for analysing real paired comparisons and derived paired comparison data (Likert type items/ratings or rankings) using a loglinear approach. Fits loglinear Bradley-Terry model (LLBT) exploiting an eliminate feature. Computes pattern models for paired comparisons, rankings, and ratings. Some treatment of missing values (MCAR and MNAR). Fits latent class (mixture) models for paired comparison, rating and ranking patterns using a non-parametric ML approach.

Provides functionality for calculating pregnancy-related dates and
    tracking medications during pregnancy and fertility treatment. Calculates
    due dates from various starting points including last menstrual period and
    IVF (In Vitro Fertilisation) transfer dates, determines pregnancy progress
    on any given date, and identifies when specific pregnancy weeks are
    reached. Includes medication tracking capabilities for individuals
    undergoing fertility treatment or during pregnancy, allowing users to
    monitor remaining doses and quantities needed over specified time periods.
    Designed for those tracking their own pregnancies or supporting partners
    through the process, making use of options to personalise output messages.
    For details on due date calculations, see
    <https://www.acog.org/clinical/clinical-guidance/committee-opinion/articles/2017/05/methods-for-estimating-the-due-date>.