Changes in version 0.7 (2025-03-25)                   

    o   class checking in rss() is now done with is()

    o   minor changes to DESCRIPTION file

    o   minor changes to virtually all the .Rd files (i.e. the help-files)

    o   fix:
	- mlgarch(): bug-fix (thanks to Rik Wienke!) that affected the dimension of the 'xreg' argument

                 Changes in version 0.6-2 (2015-09-15)                  

    o   lgarch():
	- formula for the variance-covariance matrix of the ARMA-representation corrected when method = "ls"
	- improved column-names handling of X-regressors
	- the dates/index of regressor(s), i.e. the xreg argument, is automatically matched with dates/index of the regressand

                  Changes in version 0.5 (2014-09-01)                   

    o   lgarchSim: c.code argument added with default TRUE (i.e. compiled C-code is used for the recursion; this speeds up simulations considerably)

    o   S3 method summary() added for objects of class lgarch and mlgarch

    o   lgarch() and mlgarch() functions: backcast.values argument removed

    o   lgarchRecursion1(): for improved numerical stability, the backcast values of ln(y^2) was changed to the empirical mean. Also, a bug that occurred whenever c.code = FALSE was corrected

                  Changes in version 0.4 (2014-07-01)                   

    o   lgarch():
	- mean-correction as estimation-option added
	- a third estimation method was added: QML via the centred Chi-squared distribution as instrumental density
	- fitted.lgarch(): bug fix (the bug induced incorrect fitted values at zero-locations)
	- stylistic changes to the documentation

                  Changes in version 0.3 (2014-06-02)                   

    o   functions and S3 methods for the simulation and estimation of the multivariate CCC-log-GARCH(1,1) model were added

    o   gdiff() function added

    o   rss.lgarch() function changed name to rss

    o   zoo-related bug corrected in glag()

    o   glag() function: improved further, and the pad argument in the glag function acquired a new default (TRUE)

    o   minor improvements throughout, and several stylistic changes made to the documentation

                  Changes in version 0.2 (2014-04-29)                   

    o   lgarch():
	- a couple of bugs corrected in the parameter-indexing, which ocurred whenever the garch order argument was set to 0
	- argument logl.penalty changed name to objective.penalty
	- the argument method=c("ml","ls") was added. If method="ml", then estimation is with Gaussian QML via the ARMA representation. If method="ls", then estimation is with least squares via the ARMA representation. Although asymptotically equivalent in most respects, the latter is slightly faster since one parameter less is estimated

    o   glag(): Completely rewritten. Now it can also lag matrices, and it gives a "special treatment" to zoo-objects (the indexing is retained)

    o   lgarchLogl() function changed name to lgarchObjective()

    o   new functions:
	- rss.lgarch(), extract the Residual Sum of Squares of the ARMA representation an object of class lgarch
	- mlgarchSim(), simulate from a multivariate log-GARCH(1,1)
	- rmnorm(), simulate from multivariate normal distribution

                  Changes in version 0.1 (2014-03-17)                   

    o   all versions until 1.0 should be considered as beta-versions