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douconca 1.2.5

• Minor update with cleaner version of function ipf2N2 or other minor changes.

douconca 1.2.4

• Update of function ipf2N2 for informative pre-processing of abundance data. The row and column marginals are set equal to Hill N2 or, the column marginals to N2(1-N2/N), the effective number of informative species. For max_iter==0 only the species marginal is adapted to N2 or N2(1-N2/N) without further adjustment to the abundance table. This is the simplest N2-preprocessing method and is generally quite powerful. It might be particulary useful if the function did not converge or gives a warning indicating very unequal site totals. # douconca 1.2.3

• Forward selection of traits and of environmental variables added (function FS()).

• Function ipf2N2 for informative pre-processing of abundance data. The row and column marginals are set equal to Hill N2 or, the column marginals to 2N2(N-N2)/N, the effective number of informative species. informative species

• More efficiency for large data sets by addition of a new cca function (cca0).

• An anova method for cca0 to enable residual predictor permutation.

• Improved stability for ‘exceptional’ data sets.

• The response can now be supplied as left-hand side of the environmental formula, instead of by the response argument.

douconca 1.2.2

• 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, for example, SDS (standard deviation of predictors) was in v1.2.1 a constant factor too large with the default of the argument divideBySiteTotals (the regression weights and t-values were correct).

douconca 1.2.1

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

douconca 1.2.0

• Intial CRAN release

douconca 1.1.6

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

douconca 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 For users of the previous version, the function dc_CA_vegan has been replaced by the more general function dc_CA.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.

douconca 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).

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.