Changes in version 1.2.2 (2024-12-02)                  

  - New coef.dcca() and fitted.dcca() functions with predict.dcca()
    adapted. The function coef() can give fourth-corner correlations and
    regression coefficients.
  - Patch release with extended test files and associated small
    corrections.

                 Changes in version 1.2.1 (2024-09-25)                  

  - Patch release addressing check errors on several CRAN build
    machines.

                 Changes in version 1.2.0 (2024-09-13)                  

  - Intial CRAN release

                        Changes in version 1.1.6                        

  - An issue with collinear predictors in v1.1.5 has been resolved.

                        Changes in version 1.1.5                        

  - The package can now do general dc-CA, instead of the vegan-based
    version with equal site weights only. For users of the previous
    version, the function dc_CA_vegan has been replaced by the more
    general function dc_CA. The default gives the same analysis. By
    specifying the argument divideBySiteTotals = FALSE, obtain the
    original dc-CA analysis with unequal site weights.
  - The plot_dcCA function is now a method: plot.
  - General dc-CA required weighted redundancy analysis. For this, a new
    function wrda has been added, with methods for print, scores and
    anova.
  - A predict function has been added.
  - A dc-CA can be computed from community-weighted means (CWMs) with
    trait and environment data with species and site weights. See the
    new function fCWM_SNC. This is of interest, for example, to make a
    dc-CA analysis reproducible when the abundance data cannot be made
    public, and it may also allow to perform dcCA with intra-species
    trait variation. The user needs to be able to compute meaningful
    CWMs in this case and supply trait data that reflect the
    (species-weighted) inter-trait covariance.
  - Several functions are updated. In particular, there are corrections
    to the anova function.

                        Changes in version 1.1.2                        

  - The scores.dccav function is corrected concerning intra-set
    correlations for traits and environmental variables.
  - The plotting functions are updated to avoid ggplot2 warnings on
    color and size.
  - The fitted straight lines in the plots use the implicit weights
    (they did already, but the help said they did not).