Changes in version 1.15                         

  - SMap() ignoreNan parameter added. If ignoreNan is TRUE (default) the
    library is redefined to ignore embedding vectors with nan. If
    ignoreNan is FALSE no change is made, the user can manually specify
    library segments in lib.
  - SMap() return list includes data.frame of SVD singular values.
  - noTime parameter added, default FALSE. If noTime is TRUE the first
    column of the data is not required to be a time vector. A row index
    vector will be inserted and passed to cppEDM.
  - const_pred parameter removed due to Rcpp 20 parameter limit.
  - CCM() replacement parameter removed.
  - Legacy overload functions removed.
  - Version 1.15.1 ignoreNan added in PredictNonlinear(). Replace
    unicode in pLot labels with mathplot expression. cppEDM initialize
    nanFound in DataFrame.h for UBSAN. Sync with cppEDM 1.15.1.
  - Version 1.15.2 Allow columns names with spaces. If the columns
    argument is a string use the "," delimiter to separate names. Remove
    SMap warning for disjoint library.
  - Version 1.15.3 Allow columns and target names with spaces in CCM.
  - Version 1.15.4 Move SMap warning for NaN into verbose mode. cppEDM
    ComputeError NaN removal improved, require more than 5 observation :
    prediction pairs.

                        Changes in version 1.14                         

  - cppEDM core added generateLibrary parameter to Simplex() and SMap().
    If TRUE the state-space library has newly generated points added.
    Not available due to Rcpp 20 parameter limit.
  - Version 1.14.2 Remove CCM multivariable warning, positive tau
    warning. Add Embedding application.

                        Changes in version 1.13                         

  - Adds embedded and multivariate embedding to CCM().
  - Parameters pathOut, predictFile are removed from CCM to accomodate
    the Rcpp 20 parameter limit.
  - Version 1.13.1 cppEDM DateTime H:M:S fix. Allow first column
    data.frame characters. Set target to columns[0] if empty.

                        Changes in version 1.12                         

  - Adds exclusionRadius and validLib to EmbedDimension(),
    PredictInterval() and PredictNonlinear().
  - Version 1.12.2 Multiview return data.frame, correct SMap coefficient
    labels.
  - Version 1.12.2.1 Rcpp character encoding workaround on Windows for
    DataFrame column names.
  - Version 1.12.3 cppEDM DateTime regex removed to avoid UTF-8 gcc
    issue in Windows.

                        Changes in version 1.11                         

  - Removes nan from SMap columns and target. Warning generated.

                        Changes in version 1.10                         

  - Adds the generateSteps parameter to Simplex and SMap implementing
    generative feedback prediction.
  - Adds the parameterList argument to Simplex, SMap, CCM and Multiview.
  - Parameters pathOut, predictFile are removed from SMap, Multiview to
    accomodate the Rcpp 20 parameter limit.
  - Version 1.10.1 converts parameterList values to numerics.
  - Version 1.10.2 is a bug fix for Tp < 1 in generative mode.
  - Version 1.10.3 SMap dgelss error message. CCM libSize limits Tp < 0.

                         Changes in version 1.9                         

  - Adds the validLib parameter to Simplex and SMap. validLib is a
    boolean vector with the same number of elements as input data rows.
    For validLib elements that are false, the correspoding data row will
    not be included in the state-space library.
  - Version 1.9.1 Requires .csv dataFiles to have column names.
  - Version 1.9.2 is a bug fix for CCM parameter validation with tau
    > 0.
  - Version 1.9.3 is a bug fix for CCM parameter validation with Tp <
    -1.

                         Changes in version 1.8                         

  - Removes the deletion of partial embedding data rows.
  - Adds the deletePartial argument to MakeBlock.
  - Bug fix in disjoint library indexing.

                         Changes in version 1.7                         

  - Updates nearest neighbors to better align results with legacy code.
  - Bug fixes in SMap, CMM includeData, and, the use of disjoint
    libraries.

                         Changes in version 1.6                         

  - Attempts to label SMap coefficients with names from the columns and
    target parameters.
  - Adds exclusionRadius to CCM.

                         Changes in version 1.5                         

  - Implemented an object oriented design in the core cppEDM.

                         Changes in version 1.3                         

  - A major rewrite of the 'rEDM' package as an Rcpp wrapper for the
    cppEDM library providing a unified computation engine for EDM
    algorithms across C++, Python and R implementations. The revised
    package provides improved alignment between observed and forecast
    data rows, handling of date time vectors, and, strict exclusion of
    partial data vectors.

  - To align with cppEDM and pyEDM, function names and signatures have
    changed from versions 0.7 and earlier. It is recommended to use the
    new functions: Simplex, SMap, CCM, Embed, Multiview, EmbedDimension,
    PredictInterval, PredictNonlinear, ComputeError. See EDM
    Documentation or the package documentation.

  - A legacy function interface is provided to emulate function
    signatures of rEDM 0.7, but does not have complete coverage. It also
    has slightly different return values since nested data.frames are
    not returned. Return values are either a data.frame, or, a named
    list of data.frames, as noted in the man pages. Implemented
    functions' include: simplex, s_map, block_lnlp, ccm, multiview,
    make_block, compute_stats and make_surrogate_data. Functions
    ccm_means, tde_gp, block_gp and test_nonlinearity are deprecated.