Provides quality checks for MEDITS (International Bottom Trawl Survey in the Mediterranean) trawl survey exchange data tables (TA (Haul data), TB (Catch data), TC (Biological data), TE (Biological individual data), TL (Litter data)). The main function RoME() calls all check functions in a defined sequence to perform a complete quality control of TX (Generic exchange data) data, including header validation, controlled-vocabulary checks, cross-table consistency tests, and biological plausibility checks. No automatic correction is applied: the package detects errors, warns the user, and specifies the type of error to ease data correction. Checks can be run simultaneously on multi-year datasets. An embedded 'shiny' application is also provided via run_RoME_app(). References describing the methods: MEDITS Working Group (2017).

Implements robust median-based Bayesian linear growth curve models
    for complete data and for data with Missing Completely at Random (MCAR),
    Missing At Random (MAR), or Missing Not At Random (MNAR) mechanisms.
    Models are fitted using 'rjags' through 'JAGS' and posterior summaries are
    computed with 'coda'. The main function allows users to specify outcome
    variables, auxiliary variables for MNAR missingness models, prior
    hyperparameters, and initial values directly through function arguments.

Represents high-dimensional data as tables of features, samples and measurements, and a design list for tracking the meaning of individual variables. Using this format, filtering, normalization, and other transformations of a dataset can be carried out in a flexible manner. 'romic' takes advantage of these transformations to create interactive 'shiny' apps for exploratory data analysis such as an interactive heatmap.

Implements classical cultural consensus analysis with
    formal, informal, and covariance agreement models, 'UCINET'-aligned
    minimum-residual factor extraction, competence estimation, and
    answer-key estimation. Based on the classical framework of Romney,
    Weller, and Batchelder (1986)
    <doi:10.1525/aa.1986.88.2.02a00020>, Romney, Batchelder, and
    Weller (1987) <doi:10.1177/000276487031002003>, and Weller (2007)
    <doi:10.1177/1525822X07303502>.