Download and explore datasets from UCSC Xena data hubs, which
    are a collection of UCSC-hosted public databases such as TCGA, ICGC,
    TARGET, GTEx, CCLE, and others.  Databases are normalized so they can
    be combined, linked, filtered, explored and downloaded.

Implements U-DDBART-IC, a unified Bayesian workflow for dynamic
    risk prediction from irregular longitudinal biomarkers when event times are
    interval-censored between clinical visits. The package turns long-format
    biomarker histories and patient-level interval endpoints L, R, C and delta
    into a discrete-time follow-up grid, summarises each landmark history with
    nine interpretable trajectory features (current, baseline and previous
    biomarker values, last visit gap, local slope, cumulative decline, best
    value, elapsed time and visit count), fits discrete-time interval hazards
    using optional logit-link Bayesian additive regression trees, a generalized
    linear model fallback, or a lightweight variational approximation,
    accumulates survival from the discrete-time product, and evaluates the
    interval-censored likelihood. Fitted models return landmark risk
    predictions over user-specified horizons with posterior or bootstrap
    uncertainty by evaluating survival ratios across fitted hazard draws.
    Utilities are provided for simulation, staged model fitting, plotting and
    summarising dynamic risk curves, IPCW Brier scores, cumulative/dynamic
    time-dependent area under the curve, calibration tables, and an anonymised
    chronic myeloid leukaemia molecular-monitoring example data set.

The udder quarter infection data set contains infection times of individual cow udder quarters with Corynebacterium bovis (Laevens et al. 1997 <DOI:10.3168/jds.S0022-0302(97)76295-7>). Obviously, the four udder quarters are clustered within a cow, and udder quarters are sampled only approximately monthly, generating interval-censored data. The data set contains both covariates that change within a cow (e.g., front and rear udder quarters) and covariates that change between cows (e.g., parity [the number of previous calvings]). The correlation between udder infection times within a cow also is of interest, because this is a measure of the infectivity of the agent causing the disease. Various models have been applied to address the problem of interdependence for right-censored event times. These models, as applied to this data set, can be found back in the publications found in the reference list.