Once initialized, the package leaves a 'tiny trail' of human- and AI-readable
    text that makes it effortless to keep track of small to medium-sized
    projects. The package is lightweight (hence 'tiny') and maintains a YAML
    trail file recording which scripts produced which output files. Call
    tinytrail() once at the top of each script to record metadata, wrap any
    save call with tinytrail_write() to log the output path, and optionally
    use tinytrail_dict() to capture a data dictionary for each input data frame.

Fits a wide variety of multivariate spatio-temporal models
    with simultaneous and lagged interactions among variables (including
    vector autoregressive spatio-temporal ('VAST') dynamics)
    for areal, continuous, or network spatial domains.  
    It includes time-variable, space-variable, and space-time-variable 
    interactions using dynamic structural equation models ('DSEM') 
    as expressive interface, and the 'mgcv' package to specify splines 
    via the formula interface.  See Thorson et al. (2025)
    <doi:10.1111/geb.70035> for more details.

Cluster data without specifying the number of clusters using the Table Invitation Prior (TIP) introduced in the paper "Clustering Gene Expression Using the Table Invitation Prior" by Charles W. Harrison, Qing He, and Hsin-Hsiung Huang (2022) <doi:10.3390/genes13112036>. TIP is a Bayesian prior that uses pairwise distance and similarity information to cluster vectors, matrices, or tensors.

Accurately estimates phase shifts by accounting for period
  changes and for the point in the circadian cycle at which the stimulus occurs.
  See Tackenberg et al. (2018) <doi:10.1177/0748730418768116>.

Assists performing tip-dating of phylogenetic trees with BEAST 
    BEAST is a popular software for phylogenetic analysis.
    The package assists the implementation of various phylogenetic tip-
	dating tests using BEAST. It contains two main functions.
	The first one allows preparing date randomization analyses, 
	which assess the temporal signal of a data set. 
	The second function allows performing leave-one-out analyses,
	which test for the consistency between independent calibration sequences
	and allow pinpointing those leading to potential bias.
	The included tutorial provides detailed step-by-step instructions.
	An expanded description of the package can be found in article:
	Rieux, A. and Khatchikian, C.E. (2017), 
	TIPDATINGBEAST: an R package to assist the implementation of phylogenetic
	tip-dating tests using BEAST. Molecular Ecology Resources, 17: 608-613.
	<onlinelibrary.wiley.com/doi/full/10.1111/1755-0998.12603>.