Changes in version 1.11.3                        

  - For the unconstrained models: fit feature models one by one and
    Gram-Schmidt orthogonalize and center afterwards, rather than using
    Lagrange multipliers and huge Jacobian matrices. This will use less
    memory and speed up computations, but may yield slightly different
    solutions. Nothing changes for the constrained models.

                       Changes in version 1.11.2                        

  - Explicitly import stats::model.matrix, and only load necessary VGAM
    functions

                       Changes in version 1.11.0                        

  - Added FAQ section in vignette with first frequent question on number
    of samples not shown.
      - Fixed bugs for plots of data with missing values, and added
        tests.

                        Changes in version 1.5.7                        

  - Update vignette to number table of contents

                        Changes in version 1.5.6                        

  - Replace deprecated guides( =FALSE) by guides(=“none”)

                        Changes in version 1.5.5                        

  - Bug fix for higher dimension residualPlot function, and tests for
    this function

                        Changes in version 1.5.4                        

  - A note in the vignette and in the help file of plot.RCM regarding
    limited number of combinations of constraining variables. Also a
    warning is now thrown

                        Changes in version 1.5.2                        

  - Avoid returning nulls for residualPlot

                        Changes in version 1.2.4                        

  - Adding a new inflVar variable to disambiguate in the influence
    plotting
      - More argument checking + tests for the plot.RCM function

                        Changes in version 1.2.3                        

  - Rename a and b to rowExp and colExp to avoid partial matching
      - Allow rowExp and colExp to be adapted for constrained
        correspondence analysis starting values as well

                        Changes in version 1.2.2                        

  - Moving the online manual information to the vignette

                        Changes in version 1.2.1                        

  - Vertical reference line in residual plot
      - Bug fix for problematic variable names

                        Changes in version 1.2.0                        

  - Missing values in count matrix are now allowed. They simply do not
    contribute to the parameter estimation, but the rest of the row (or
    column) is still used.

                        Changes in version 1.0.1                        

  - Bug fix in buildCovMat() to avoid false warning
      - Check for alias structure in confounder and covariate matrices

                        Changes in version 1.0.0                        

  - Release on BioConductor

                        Changes in version 0.3.0                        

  - Importance parameters (\psi) are enabled again when non-parametric
    response functions are used, but not used for plotting.
      - 2D sample plots for constrained ordination with non-parametric
        response functions have been disabled, as they are not
        interpretable. Variable plots are the only 2D plots still
        allowed
      - Explained deviance and inertia can be plotted on the axes rahter
        than the (\psi)’s using the “plotPsi” argument to the plot.RCM()
        function.
      - Possibility to provide lower dimensional fits has been disabled.
        RCM is fast enough to fit the whole model.

                        Changes in version 0.2.0                        

  - Importance parameters (\psi) are no longer calculated when
    non-parametric response functions are used.