Enables quick calibration of radiocarbon dates under various 
  calibration curves (including user generated ones); age-depth modelling 
  as per the algorithm of Haslett and Parnell (2008) <DOI:10.1111/j.1467-9876.2008.00623.x>; Relative sea level 
  rate estimation incorporating time uncertainty in polynomial regression 
  models (Parnell and Gehrels 2015) <DOI:10.1002/9781118452547.ch32>; non-parametric phase modelling via 
  Gaussian mixtures as a means to determine the activity of a site 
  (and as an alternative to the Oxcal function SUM; currently 
  unpublished), and reverse calibration of dates from calibrated into 
  un-calibrated years (also unpublished).

Many clustering methods have been proposed, but
    most of them cannot work for longitudinal gene expression data. 
    'BClustLonG' is a package that allows us to perform clustering analysis for 
    longitudinal gene expression data. It adopts a linear-mixed effects framework 
    to model the trajectory of genes over time, while clustering is jointly 
    conducted based on the regression coefficients obtained from all genes. 
    To account for the correlations among genes and alleviate the 
    high dimensionality challenges, factor analysis models are adopted
    for the regression coefficients. The Dirichlet process prior distribution 
    is utilized for the means of the regression coefficients to induce clustering.
    This package allows users to specify which variables to use for clustering 
    (intercepts or slopes or both) and whether a factor analysis model is desired.
    More details about this method can be found in Jiehuan Sun, et al. (2017) <doi:10.1002/sim.7374>.

Various layers of B.C., including administrative boundaries,
    natural resource management boundaries, census boundaries etc. All
    layers are available in BC Albers
    (<https://spatialreference.org/ref/epsg/3005/>) equal-area
    projection, which is the B.C. government standard. The layers are
    sourced from the British Columbia and Canadian government under open
    licenses, including B.C. Data Catalogue (<https://data.gov.bc.ca>),
    the Government of Canada Open Data Portal
    (<https://open.canada.ca/en/using-open-data>), and Statistics Canada
    (<https://www.statcan.gc.ca/en/reference/licence>).