                       Changes in version 1.0.13                        

  - added support for xts objects in functions for robust covariance
    matrix estimation

                       Changes in version 1.0.12                        

  - added lsRobTestMM()

                 Changes in version 1.0.11 (2024-10-17)                 

  - fixed C code to work with R_USE_STRICT_R_HEADERS = true,
    (STRICT_R_HEADERS = 1)

                       Changes in version 1.0.10                        

  - scaleM() and mscale() are now different functions. mscale() is no
    longer exported.
  - The argument "tuning.chi" of scaleM() has been removed, and it is
    now computed internally to obtain a consistent scale estimator for
    the chosen combination of "family" and "delta".

                        Changes in version 1.0.9                        

  - The robustarima Package Status: This package, which is used in the
    example scripts "ar1.R", "ar3.R", "resex.R", "identAR2.R",
    "identMA1.R" and "MA1-AO.R", is currently archived by CRAN due to a
    small problem in one of package’s supporting functions. We
    anticipate having the package back on CRAN in 2024. Meanwhile, the
    package is available at the repository
    https://github.com/spkaluzny/robustarima of package maintainer
    Stephen Kaluzny. To install robustarima, you need to have first
    installed the package devtools. Then you can install the utility
    packages splusTimeDate and splusTimeSeries, and robustarima with:

> devtools::install_github("spkaluzny/splusTimeDate")
> devtools::install_github("spkaluzny/splusTimeSeries")
> devtools::install_github("spkaluzny/robustarima")

                 Changes in version 1.0.8 (2023-11-27)                  

  - Argument "length" of seq() fixed to "length.out"
  - Fixed Rprintf() and REprintf() bad arguments in lmrob.c

                 Changes in version 1.0.7 (2023-04-05)                  

  - The opt and mopt loss functions, known as rho functions, specified
    by the choice family = "opt" or family = "mopt" in the function
    lmrobdet.control are now calculated using polynomials, rather than
    using the standard normal error function (erf) as in versions of
    RobStatTM prior to 1.0.7. The numerical results one now gets with
    the opt or mopt choices will differ by small amounts from those in
    earlier package versions. Users who wish to replicate results from
    releases prior to 1.0.7 may do so by using the family arguments
    family = "optV0" or family = "moptV0". Note that the derivative of
    the rho loss function, known as the "psi" function, is still an
    analytic function. For further details, see the Vignette
    "polynomialRhoFunctions".

                        Changes in version 1.0.6                        

  - locScaleM produces a warning and returns 0 for the estimated scale
    when more than half of the input values are equal to each other.

                 Changes in version 1.0.5 (2022-04-18)                  

  - Replace legacy S-compatibility deprecated macros DOUBLE_* in
    R_ext/Constants.h (included by R.h) by the standard C99 constants

                        Changes in version 1.0.4                        

  - For the function lmrobdetMM.RFPE, when the argument bothVals is set
    to TRUE, the names of the first element in the returned list has
    been changed to minRhoMM.C (from minRhoMM).

                 Changes in version 1.0.3 (2021-11-30)                  

  - The Shiny User Interface capability has been removed, and
    correspondingly the Shiny Interface to RobStatTM Vignette has also
    been removed. The reason for doing so is that the Shiny capability
    resulted in too many package dependencies. We anticipate that Greg
    Brownson (gregory.brownson@gmail.com), the creator of the RobSTatTM
    Shiny UI, will make that capability available in an independent
    package complement to RobStatTM.

  - The package fit.models has been removed as a dependency, i.e., it is
    no longer listed as Depends. The reason for this is that including
    fit.models in RobStatTM created too many dependencies. The fit.model
    package stand-alone functionality works very well with RobStatTM.
    Correspondingly, the use of fit.models has been removed from the
    "Vignette for Command Line Use of RobStatTM.pdf" document, and is
    now provided in the separate vignette "fit.models using
    RobStatTM.pdf".

  - In src/lmrob.c add USE_FC_LEN_T and use FCONE when calling BLAS and
    LAPACK Fortran functions
    (https://cran.r-project.org/doc/manuals/r-devel/R-exts.html#Fortran-character-strings)

  - Re-ordered the elements in the object returned by covRob and
    Multirobu, renamed the argument cor to corr, and now the correlation
    matrix (if the argument corr = TRUE) is returned in the element cor.

  - Renamed the returned entry weights to wts and the order of other
    entries in the object returned by covClassic

  - Removed comment on the help page of lmrobdetMM.RFPE referring to it
    being for internal use. This was not correct. The function can be
    used directly.

  - lmrobdetMM.RFPE now includes the argument bothVals. If set to TRUE
    the function returns a list with the two terms (named minRhoMM and
    penaltyRFPE) that added together equal the RFPE (see equation (5.39)
    in Section 5.6.2 of the book "Robust Statistics: Theory and Methods
    (with R)". If bothVals is FALSE then the function returns a scalar
    with the RPFE value.

  - Objects returned by covClassic and covRob now include an element
    call with an image of the call that produced the object with all the
    arguments named (the matched call).

  - The function lmrobLinTest has been renamed to lmrobdetLinTest

  - Fixed a bug producing undesired behavior when an exact fit (more
    than half of the data lying perfectly on a line) was detected.

  - The help page for lmrobdetMM was revised to describe all entries in
    the returned object.

                 Changes in version 1.0.1 (2019-08-06)                  

  - Fix an issue with exact fits if the M-scale estimate is (close
    to) 0.
  - Includes help pages for all datasets.
