Extends 'data.table' join functionality, lets it work with any
  data frame class, and provides a familiar 'x'/'y'-style interface, enabling
  broad use across R. Offers NA-safe matching by default, on-the-fly column
  selection, multiple match-handling on both sides, 'x' or 'y' row order, and a
  row origin indicator. Performs inner, left, right, full, semi- and anti-joins
  with equality and inequality conditions, plus cross joins. Specific support
  for 'data.table', (grouped) tibble, and 'sf'/'sfc' objects and their
  attributes; returns a plain data frame otherwise. Avoids data-copying of
  inputs and outputs. Allows displaying the 'data.table' code instead of (or as
  well as) executing it.

Satellite data collected between 2003 and 2022,
	in conjunction with gridded bathymetric data (50-150 m resolution),
	are used to estimate the irradiance reaching the bottom of a series of representative EU Arctic fjords. 
	An Earth System Science Data (ESSD) manuscript, Schlegel et al. (2024),	
	provides a detailed explanation of the methodology.

Analysis of Bayesian adaptive enrichment clinical trial using Free-Knot Bayesian Model Averaging (FK-BMA) method of Maleyeff et al. (2024) for Gaussian data. Maleyeff, L., Golchi, S., Moodie, E. E. M., & Hudson, M. (2024) "An adaptive enrichment design using Bayesian model averaging for selection and threshold-identification of predictive variables" <doi:10.1093/biomtc/ujae141>.

Cluster functional data using phase and amplitude components of each function. By weighting phase and amplitude variation differently, clustering results can be obtained from multiple perspectives. Routines for synchronization, functional k-means clustering, and functional k-medians clustering are provided.

This is a fast and flexible implementation of the Kalman
        filter and smoother, which can deal with NAs. It is entirely written in C and relies fully on linear algebra subroutines contained in
        BLAS and LAPACK. Due to the speed of the filter, the fitting of
        high-dimensional linear state space models to large datasets
        becomes possible. This package also contains a plot function
        for the visualization of the state vector and graphical
        diagnostics of the residuals.