1.3.1 * Adding a temporary fix to the wavelet function not supported 1.3 * Adding functionalities from the forecast package to the diss.PRED functio 1.2.4 * Fixed ACF and PACF returning squared euclidean distance instead of the proper euclidean distance * Fixed CID distance when denominator is 0 * Fixed SAX.plot not working with vectors * Reworked diss.AR.LPC.CEPS * Fixed diss.SPEC.GLK returning 0 * Fixed import errors 1.2.3 * Changed title to title case * Added CITATION file as a result of the publication in the Journal of Statistical Software, updated the proper .Rd files 1.2.2 * Adapted pdc calls to the new name scheme 1.2.1 * Expanded/corrected documentation in several functions * Corrected error in the transformation and backtransformation in diss.PRED * Added wrappers for several functions diss.EUCL, diss.DTW, diss.FRECHET, diss.PDC * Improved diss.PRED plot * Changed diss.CORT DTW method to use Manhattan instead of Euclidean as local distance 1.2 * Corrected changes in the documentation of the AR.LPC.CEPS * Added diss wrapper function * Converted electricity and synthetic.tseries dataset to a mts object * Changed the name of the main documentation page * Changed minimum R version required to R (>= 3.0.1) * Removed multidiss.* functions, absorbed in the wrapper * Added permissive parameter to MAHARAJ, PIC, CEPS * Added SAX dissimilarity, PAA reduction, SAX symbolization * Added CDM and NCD compression based dissimilarities * Changing to a pairwise interface for distances like PRED, AR.PIC, AR.LPC.CEPS * Added CID dissimilarity * Added PDC distance using the pdc package * Added linear interpolation approximation for the spectral bases dissimilarities * Reworked diss.SPEC.* and diss.PRED for storing intermediate results, for a faster pairwise dissimilarity using diss() * Changed pvalues cluster method to correct the problem in the flowchart of the original paper * Increased error checking in all the functions * Added leave-one-out 1NN function loo1nn.cv() * Increased and corrected documentation for all the functions * Added support for lists, dataframes, mts objects 1.1 * Changed logarithm-based spectral dissimilarity "LS" for nonlogarithm "DLS" (diss.SPEC.LLR). * Corrected pvalues.clust * Increased the robustness of several dissimilarities * Corrected documentation incoherences * Removed unused dependencies