Functions to create and select graphical themes for the base plotting system. Contains: 1) several custom pre-made themes 2) mechanism for creating new themes by making persistent changes to the graphical parameters of base plots.

Resurrects the standard plot for shapes established by the
 'base' and 'graphics' packages. This is suited to workflows that require
 plotting using the established and traditional idioms of plotting spatially
 coincident data where it belongs. This package depends on 'sf' and only replaces 
 the plot method.

Evaluate, fit, and analyze Hill dose response models (Goutelle et 
    al., 2008 <doi:10.1111/j.1472-8206.2008.00633.x>), also sometimes referred
    to as four-parameter log-logistic models.  Includes tools to invert Hill 
    models,  select models based on the Akaike information criterion
    (Akaike, 1974 <doi:10.1109/TAC.1974.1100705>) or Bayesian information 
    criterion (Schwarz, 1978 <https://www.jstor.org/stable/2958889>), and 
    construct bootstrapped confidence intervals both
    on the Hill model parameters and values derived from the Hill model
    parameters.

Provides methods for examining posterior MCMC samples
    from a single chain using trace plots and density plots, and from
    multiple chains by comparing posterior medians and credible intervals
    from each chain.  These plotting functions have a variety of options,
    such as figure sizes, legends, parameters to plot, and saving plots to file.
    Functions interface with the NIMBLE software package, see
    de Valpine, Turek, Paciorek, Anderson-Bergman, Temple Lang and Bodik (2017)
    <doi:10.1080/10618600.2016.1172487>.

Easily create tables from data 
    frames/matrices.  Create/manipulate tables 
    row-by-row, column-by-column or cell-by-cell.  
    Use common formatting/styling to output 
    rich tables as 'HTML', 'HTML widgets' or to 
    'Excel'.

Data sets of the Spanish National Forest Inventory <https://www.miteco.gob.es/es/biodiversidad/servicios/banco-datos-naturaleza/informacion-disponible/> are processed to compute tree metrics and statistics. Function metrics2Vol() controls most of the routines.