Compress local and online images using the 'reSmush.it' API
    service <https://resmush.it/>.

Utility functions to download data from the 'RESOURCECODE'
    hindcast database of sea-states, time series of sea-state parameters
    and time series of 1D and 2D wave spectra.  See
    <https://resourcecode.ifremer.fr> for more details about the available
    data.  Also provides facilities to plot and analyse downloaded data,
    such as computing the sea-state parameters from both the 1D and 2D
    surface elevation variance spectral density.

Includes Resourcecode hindcast database (see
    <https://resourcecode.ifremer.fr>) configuration data: nodes locations
    for both the sea-state parameters and the spectra data; examples of
    time series of 1D and 2D surface elevation variance spectral density.

A resource represents some data or a computation unit. It is 
    described by a URL and credentials. This package proposes a Resource model
    with "resolver" and "client" classes to facilitate the access and the usage of the 
    resources.

Resource Selection (Probability) Functions
  for use-availability wildlife data
  based on weighted distributions as described in
  Lele and Keim (2006) <doi:10.1890/0012-9658(2006)87%5B3021:WDAEOR%5D2.0.CO;2>,
  Lele (2009) <doi:10.2193/2007-535>,
  and Solymos & Lele (2016) <doi:10.1111/2041-210X.12432>.

A collection of several utility functions related to resolvable and affine resolvable Partially Balanced Incomplete Block Designs (PBIBDs), have been developed. In the class of resolvable designs, affine resolvable designs are said to be optimal, Bailey (1995) <doi:10.2307/2337638>. Here, the package contains three functions to generate and study the characterization properties of these designs. Developed functions are named as PBIBD1(), PBIBD2() and PBIBD3(), in which first two functions are used to generate two new series of affine resolvable PBIBDs and last one is used to generate a new series of resolvable PBIBDs, respectively.  In addition, these functions can also be used to generate design parameters (v, b, r and k), canonical efficiency factors, variance factor between associates and average variance factors of the generated designs. Here v is the number of treatments, b (= b1 + b2, in case of non-proper design) is the number of blocks, r is the number of replications and k (= k1 + k2; k1 is the size of b1 and k2 is the size of b2) is the block size.