2024-01-30 Valentin Todorov
*
* DESCRIPTION (Version): 1.7-5
*
* data/Cars.rda - data set added
* man/rrcov-utils.Rd: (mail from Kurt Hornik from 22.01.2024)
* man/fish.Rd: URL corrected
*
2023-18-06 Valentin Todorov
*
* DESCRIPTION (Version): 1.7-4
*
* DESCRIPTION: ISBN changed to
* (mail from Kurt Hornik from 06.06.2023)
* tests/thubert.Rout.save, tlda.Rout.save, tmcd4.Rout.save, tqda.Rout.save:
* Follow up to changes in robustbase 0.99-0
*
2023-03-23 Valentin Todorov
*
* DESCRIPTION (Version): 1.7-3
*
* data/ionosphere.rda - data set added
* R/CovRobust, plot_utils: 'xyqqchi2' and 'xydistance' plots, fixed to use of parameter id.n
*
2022-10-22 Valentin Todorov
*
* DESCRIPTION (Version): 1.7-2
*
* src/rrcov_init.c: Fixed - warning: invalid UTF-8 in comment [-Winvalid-utf8]
* see mail of K.Hornik from 17.10.2022
*
2022-07-18 Valentin Todorov
*
* DESCRIPTION (Version): 1.7-1
*
* R/CovMrcd.R: Fixed - maxcond passed to the low level functions
* R/detmrcd.R, plot_utils.R: Fixed errors "Found if() conditions comparing class() to string"
* man/PcaHubert.Rd: Fixed NOTE "Found the following math rendering problems", see
* mail from Kurt Hornik from 11 August 2022
*
2022-04-25 Valentin Todorov
*
* DESCRIPTION (Version): 1.7-0
*
* src/covOPW.c - Fix for USE_FC_LEN_T becoming the default in 4.2.0
* src/ds11.f, fsada.f - fixed several Fortran warnings
*
2022-02-08 Valentin Todorov
*
* DESCRIPTION (Version): 1.6-2
*
* tests/thubert.R - minor differences in tests for PcaProj() on some platforms fixed
* Examples for PCA/adjustment for skewed data and PCA/percentage of explained
* variance added
* R/Pca.R: scorePlot() improved to show the labels of the samples
*
2022-01-28 Valentin Todorov
*
* DESCRIPTION (Version): 1.6-1
*
* data/fruit.rda - data set added
*
* man/*.Rd - URLs replaced by DOI to fix for the migration of the www.jstatsoft.org
* to a new editorial system (see mail from Achim Zeileis from 06.10.2021)
*
* R/Pca*.R - fixed a problem when showing the percentage of explained variance in
* summary() of all PCA functions when k is chosen to be less than the number of variables in the
* input data matrix (k < p). The returned object contains now additionally
* the rank of the input matrix, the original eigenvalues (of all variables)
* and the original total variance, if available.
2021-09-15 Valentin Todorov
*
* DESCRIPTION (Version): 1.6-0
*
* R/PcaHubert.R - option for adjusted outlyingness for skewed data added
* data/machines.rda - data set Computer Hardware added
* data/wolves.rda - data set 'wolves' added
* Fixed some URLs, particularly the reference to javasoft.org
2020-08-03 Valentin Todorov
*
* DESCRIPTION (Version): 1.5-5
*
* R/PcaHubert.R - PcaHubert will crash if X is 1-dimensional and mcd=FALSE: fixed
* R/PcaProj.R - fixed a problem with wrong scores (reported by Matthieu Lesnoff )
* R/CovMve.R, CovSest.R - fixed a problem with nsamp="exact" or nsamp="best"
* (reported by Claudio Agostinelli) - these functions, differently from CovMcd,
* should not take non-numeric 'nsamp'
* tests/tlda.R, togk4.R: fixed 'noLD' issues in tlda.R and okg4.R
*
2020-01-14 Valentin Todorov
*
* DESCRIPTION (Version): 1.5-2
*
* R/getEllipse.R - Removed the dependence on packages 'cluster' and 'ellipse'
* R/Linda - added parameter 'control' to select the robust location and
* covariance estimator to use in LDA. Now any estimator derived from class 'Cov'
* can be used, even such that are not in 'rrcov'. Return this parameter in the
* returned S4 object.
*
* R/Linda - return the location and covariance estimator used as 'covobj'. This
* is useful for controlling cross-validation, for example.
*
* R/Lda.R - fixed an issue in predict function
*
* R/LdaClassic, R/Linda - use generalized inverse if the common covariance
* matrix is singular.
*
2019-11-25 Valentin Todorov
*
* DESCRIPTION (Version): 1.4-9
* DESCRIPTION (Version): 1.4-8
*
* - Added data set \code{diabetes}; data set \code{soil} from package \code{rrcovHD} moved here.
* - Linear and quadratic discriminant analysis can use the MRCD estimates.
* - Fixed an issue with CovControlMcd(nsamp="deterministic") - this would not work,
* because nsamp was defined in the class definition as "numeric". Now it is
* "Cnumeric" - union of "character" and "numeric'.
* - Corrected the code for Minimum Regularized Covariance Determinant estimator (MRCD) -
* \code{CovMrcd()} - the step of adjusting the eignevalues in r6pack() is excluded
* now because it has no effect when n > p.
*
2018-11-14 Valentin Todorov
*
* DESCRIPTION (Version): 1.4-7
* DESCRIPTION (Version): 1.4-6
*
* R/CovMrcd.R, CovControlMrcd.R: added Minimum Regularized Covariance
* Determinant estimator (MRCD) (Boudt et al. 2018)
*
* data/octane.rda, man/octane.Rd - octane data set added
* data/olitos.rda, man/olitos.Rd - olitos data set moved from package rrcovHD
*
* R/CovClassic.R, plot-utils.R: make the 'pairs' plot also
* available for classical covariance matrix
*
2018-05-20 Valentin Todorov
*
* DESCRIPTION (Version): 1.4-4
*
* vignettes/mybiblio.bib: Fixed issue with building
* the vignette: non-ascii symbols in .bib
* (see mail from K. Hornik from 14.05.2018)
* src/rrcov_init.c: Registration of native routines
*
2016-09-03 Valentin Todorov
*
* DESCRIPTION (Version): 1.4-3
* DESCRIPTION (Version): 1.4-2
*
* src/sest.c: Warning reported by Duncan Murdoch: if(fabs(t <= cc))
*
2016-08-19 Valentin Todorov
*
* DESCRIPTION (Version): 1.4-1
*
* R/Pca.R, PcaCov.R, PcaHubert.R, PcaLocantore.R, PcaClasic.R:
* fixed a bug when scale != FALSE.
* Now scale can be also a function or a vector with length p.
*
2016-08-05 Valentin Todorov
*
* DESCRIPTION (Version): 1.4-0
*
* R/PcaCov.R, Pca.R: fixed a bug when scale != FALSE; the call to princomp()
* replaced by an internal function (simplified princomp())
*
* R/Pca.R: fixed a bug when scale != FALSE - computing OD .distances()
*
* R/Linda.R: added argument l1med=FALSE - if set to TRUE, the L1 median
* will be used for centering the data in mcdB and mcdC methods
*
2016-02-10 Valentin Todorov
*
* DESCRIPTION (Version): 1.3-10
*
* R/CovSest.r: additional trace for Rocke S-estimates
* R/Pca.R, Allclasses.R, etc.: Add the quantile cut-off for computing the OD and SD distances in PCA as a parameter
* R/PcaCov.R, etc.: Automatic selection of components with k=0
*
*
2015-11-28 Valentin Todorov
*
* DESCRIPTION (Version): 1.3-9
*
* 2015-07-07
* R/Pca.R, man/biplot.rd: The missing parameter choices= added to biplot()
*
* R/PcaXxx.R, man/PcaXxx.rd: added a parameter crit.pca.distances to be used
* for computing the score and orthogonal distances. This parameter is stored
* in the Pca-class object
*
* R/PcaXxx.R, man/PcaXxx.rd (except Grid and Proj): selection of number of
* components fixed, see Help.
*
2014-11-23 Valentin Todorov
*
* DESCRIPTION (Version): 1.3-7
*
* src/sest.c: fixed an issue (reported by Stefan van Aelst)
* in computing S-estimates, related to improper
* calculation of the rank of a matrix with q()
*
2014-11-05 Valentin Todorov
*
* DESCRIPTION (Version): 1.3-6
*
* R/CovSest.R, dets.R, AllClasses.R, CovControl.R: added Deterministic S as
* an option to CovSest (method="sdet"), function ..detSloc(),
* new parameters and new slots in class CovSest.
*
* R/Pca.R, PcaClassic.R, pcaHubert.R: the internal functions classSVD()
* and kernelEVD() are replaced by function classPC() which is moved
* to robustbase
*
* R/CovMcd.R, AllClasses.R, CovControl.R - deterministic MCD, with nsamp="deterministic",
* new parameters and new slots in class CovMcd
*
* tests/tsest.R: added tests method="sdet"
*
* R/CovSde, man/CovSde.Rd: a bug, when number of variables
* too large, fixed. The number of variables is used to calculate
* the necessary number of samples. If this number is large than
* .Machine$integer.max an error message, saying NAs passed to
* an external function was issued. Now the nsamp <= .Machine$integer.max
* and in the documentation is explained that CovSde() can be used only
* with relatively small data sets.
*
* R/CovMest3.R, man/CovMest3.Rd - function deprecated,
* replaced by the one return ing an S4 class, CovMest().
* tests/tmest.R removed.
*
* TODO: fix a bug in C version of sfast
* TODO fix a crash in CovOgk with a singular matrix
*
*
2013-09-01 Valentin Todorov
* 1.3-5
*
* R/Pca.R - definition of a print() method removed
* Use suppressPackageStartupMessages(library(rrcov)) in the tests
*
* R/CovOgk.R - bug fixed (Chris Green): a data set with 0 (complete) rows
* (n=0) would crash R with access violation
*
* R/CovClassic.R - the restriction "Need at least p=(number of variables)
* observations" removed
*
* man/PcaHubert.Rd - % signs in the examples were not escaped and part of the
* statements was missing
*
2013-08-19 Valentin Todorov
* 1.3-4
*
* Changes, mainly to fix warnings in packages rrcovNA and rrcovHD
*
* Generic and method scoreplot changed to scorePlot to avoid
* conflict with package pls
*
* Vignette moved to directory .\vignettes, as recommended in
* the 'Writing R Extensions' manual
*
* NOTE "Namespace imported from by a ':::' call: ..." fixed for all
* but two robustbase calls.
*
* Packages 'mvtnorm' and 'pcaPP' moved from Depends to Import and the particular
* functions used are only imported (rmvnorm from 'mvtnorm' and PCAgrid
* and PCAproj from 'pcaPP')
*
2013-04-28 Valentin Todorov
* 1.3-3
*
* SRC/ds11.f: Fortran array bound check error fixed
*
* R/zzz.R: on.Load() replaced by on.Attach() to suppress a NOTE
*
* R/Pca.R: Fixed a problem in pca.scoreplot() - the ellipse was not
* properly shown in case for example of PP PCA, when the scores can be correlated.
2012-06-10 Valentin Todorov
* 1.3-02
*
* R/Linda.R: Fixed a problem with array over-run in .Fortran("fsada")
in integer argument 14
*
* Method getRaw() for CovMcd, CovMve and CovOgk added
* Union S4 classes Uvector, Umatrix, Ulist, Ufunction, Utable exported
* in the name space
* T2.test() fixed - the F statistic was shown but titled as "T^2". Now both
* T2 and F are shown
*
2011-06-26 Valentin Todorov
* 1.3-01
*
* Fix for LdaPP()
*
2011-05-05 Valentin Todorov
* 1.3-00
*
* Added LdaPP() and the related classes - see Pires and Branco (2010)
*
2011-04-30 Valentin Todorov
* 1.2-02
*
* R/plot-methods.R: fixed the pairs-plot for Cov objects - on the diagonal
* were shown not the variable names but Var1, var2, etc.
*
* R/Pca.R, AllGenerics.R, Man/scoreplot.rda, pca.scoreplot.rda:
* the internal function pca.scoreplot()is defined now in the namespace,
* help is added and corresponding method/generic scoreplot() function
* is defined too.
*
* Data/pottery.rda, Man/pottery.rd: added the pottery data set -
* see Pires and Branco (2010)
*
*
2011-04-04 Valentin Todorov
* 1.2-00
* R/CovSest.R, CovMMest.R, man/* - added slots for the tuning constants of
* the S- and MM-loss functions. The functions for calculating these
* constants (.csolve.bw.S() and .csolve.bw.MM() are not exported but the
* user could access them using rrcov:::.csolve.bw.S() call
* data/wages.rda - Added data set Wages and Hours
* R/Pca.R - fixed the cutoff for the orthogonal distances (diagnostic plot)-
* univariate MCD replaced by median and MAD
2010-08-30 Valentin Todorov
* 1.1-00
* src/ds11.f - fixed a problem with CovSde for p=1 (i.e. option p=1 implemented)
* R/CovSest.R, man/CovSest.Rd - default number of samples 'nsamp' for method='sfast'
* changed to nsamp=20
* Added MM-estimates of location and scatter
* Added methods getDet(), getShape() and getDflag() for objects of class 'Cov'
* C implementation of the FAST-S estimates
* signflip and scale parameters added to PcaHubert() and PcaCov()
2010-06-20 Valentin Todorov
* 1.0-01
* data/rice.Rda, man/rice.Rd: Rice data set added
*
* R/PcaHubert.R - fixed a minor problem - see VT::14.12.2009
*
* src/fsada.f: fixed a problem in Linda with method 'fsa' -
* number of cases was limited to 500 and number of
* variables to 100 without error message
* R/Linda.R, man/Linda.Rd, src/fsada.f - added 'trace' parameter
*
* R/Allclasses.R, AllGenerics.R, PcaClassic.R, PcaLocantore.R,
* RcaHubert.R, Pca.R, man/PcaClassic.Rd, PcaLocantore.Rd,
* PcaClassic-class.Rd, PcaLocantore-class.Rd, Pca-class.Rd:
* - added sign flipping for the loadings, controlled by a
* signflip=TRUE parameter
* - added a scale slot in Pca class and scale=FALSE parameter in
* PcaClassic() and PcaLocantore()
*
* R/plot-utils.R, CovRobust.R, CovClassic:
* - additional graphics parameters for the plot methods are available now, e.g.
* different colors or different symbols for the different groups
* - it is possible to provide custom labels for the id.n observations
* - pairs-plot for more than 2 variables
*
2009-10-10 Valentin Todorov
* 1.0-00
* CITATION to the JSS paper added
* Rd files updated to refer to the JSS paper
* vignette added
*
**********************************************************
2009-09-29 Valentin Todorov
* 0.5-03
* citation file added
* PcaCov can compute the classical estimates (cov.control=NULL)
*
2009-07-21 Valentin Todorov
* 0.5-02
* Defaults of CovRobust() changed
* Corrections in some help pages
* Biplot implemented as a method of class PCA (generic function biplot)
*
2009-02-20 Valentin Todorov
* 0.5-01
*
* Added Quadratic Discriminant Abalyis: Qda, SummaryQda,
* PredictQda, QdaClassic, QdaRobust and QdaCov
*
2009-02-14 Valentin Todorov
* 0.5-00
*
* Added Stahel-Donoho estimator of multivariate location and scatter
* CovSde
2009-01-14 Valentin Todorov
* 0.4-08
*
* data/salmon - data set added
* Added Robust Linear Discriminant Analysis:
* R/AllClasses, R/Lda.R, R/LdaClassic.R, R/Linda.R
* and the corresponding manual pages: man/Lda*.Rd
*
* Added PP-approach PCA methods PcaProj and PcaGrid (see package pcaPP):
* R/AllClasses, R/PcaProj.R, R/PcaGrid.R
* and the corresponding manual pages: man/PcaProj*.Rd, man/PcaGrid*.Rd
*
2008-07-04 Valentin Todorov
* 0.4-07
*
* data/un86 - data set added
*
* R/CovRobust.R - function to select a robust estimator added
*
* R/CovSest.R, man/CovSest.Rd, R/CovControlSest.R, man/CovControlSest.Rd -
* added two more estimation methods for the S estimates: bisqauare and
* Rocke type, as described in Maronna et al. (2006) - thanks to Matias
* Salibian-Barrera for the provided code.
*
* R/CovMve.R, man/CovMve.Rd - now the raw cov matrix is properly scaled by
* a factor median(dist)/qchisq(0.5, p) and the reweighted cov matrix is
* multiplied by a consistency corretcion factor, similarly as in CovMcd().
* No finite sample correction factors are used. For details see ?CovMve.
*
* man/CovMve.Rd - the search for the approximate solution is explained
* (fast MVE) and the corresponding referecne (Maronna et al., 2006) is given.
*
* R/CovMest.R, man/CovMest.Rd - the default initial value now is the raw
* (not reweighted) MVE estimate with the covariance matrix standardised
* to det(cov)=1
*
* R/CovOgk.R, man/CovOgk.RD, src/covOPW.c, R/CovControlOgk.R, man/CovControlOgk.R
* Added a C implementation for OGK - thanks to Kjell Konis.
* See ?CovOgk for details
*
* R/plot-utils.R - fixed a bug in plot(CovMcd(x), which="tolEllipsePlot", id.n=0) -
* even if id.n was set to 0, at least one observation was plotted with a label
*
2008-06-02 Valentin Todorov
* 0.4-06
* Added the 'bushmiss' - a group of data sets based on 'bushfire'
* with added incompliteness (MCAR) with probability 0.1,
* 0.2, 0.3 and 0.4
* Fixed minor errors in the documentation
* Added PCA based on robust cov matrix - PcaCov
* Added Spherical PCA algorithm - PcaLocantore
* Added 'bus' data set - Automatic vehicle recognition data
* as an illustration for the PCA methods. The examples reproduce
* the corresponding examples from Maronna et al. (2006), page 213
2007-02-12 Valentin Todorov
* 0.4-05
* Added the OsloTransect data set
* Fixed minor errors in the documentation
* Fixed two serious problems in .fastMve() - there was a
* hard-coded seed setting and the half-sample was hardcoded too
* Added S-estimates computed by either the FAST-S algorithm or
* Ruppert's SURREAL
2007-11-10 Valentin Todorov
* 0.4-03
* R/plot-utils.R - "Squared Robust distance" changed to "Robust distance",
* added ylim parameter so that two parallel distance plots
* (robust and classic) will have the same scale
* man/getCenter-methods.Rd - there was an 'unmatched right brace' in line 34 -
* shown as 'Note' in "R CMD install" but not in "R CMD check"
* R/CovRobust.R - method 'plot' - make robust and classic distance
* plot same scale
* Added function Cov() as an alias to CovClassic() for compatibility with
* previous versions
* Function and class Robpca changed to PcaHubert - Robpca was too general
* Added methods predict, screeplot and biplot for Pca
2007-10-24 Valentin Todorov
* 0.4-02
* Fixed the OO-hierarchy for robust location and scatter: now
* Cov is a VIRTUAL class and CovClassic added for representing
* the classic estimates
* CovMve added, to be used as initial solution for CovMest
2007-09-28 Valentin Todorov
* 0.4-01
* Removed covMcd, ltsReg and all datasets which were already moved to
* package robustbase. Now package robustbase is required and these
* functions are used from there. This could cause some minor
* incompatibilities because of changed parameters in covMcd(), like:
* - trace=FALSE instead of print.it=FALSE
* - seed=NULL instead of seed=0
* - changed structure and names of datasets
2007-09-24 Valentin Todorov
* 0.3-08
* Added ROBPCA - Robust Principal Component Analysis - with an
* S4 object model R/Pca.R, R/PcaClassic, R/Robpca and
* man/Pca-class.RD, man/PcaRobust-class.Rd, man/PcaClassic-class.RD
* man/Robpca-class.RD, man/PcaClassic.RD, man/Robpca.RD
2007-09-20 Valentin Todorov
* 0.3-07
* Added classical and robust Wilks Lambda test - R/Wilks.test.R and
* man/Wilks.test.RD
2007-07-05 Valentin Todorov
* 0.3-06
* Added one- and two-sample T2 Hotelling test and one-sample
* robust T2 Hotelling test (Willems et al. 2002) - R/T2.test.R and
* man/T2.test.RD
* R/covMcd.R: usage of simulated finite sample correction factors fixed:
* - case p=1 fixed
* - simulated corrections used only when the Pison et.al.
* formula is definitely wrong (negative or very large)
* Added the L-moments data sets from Hosking and Wallis (1997):
* Appalachia, Cascades, lmom32 and lmom33
* Fixed print.mcd() to avoid conflict with package 'robust'
* (same class "mcd")
* R/covMcd.R - the calculation of the consistency correction factor
* for the raw and reweighted MCD covariance replaced by a call to
* a function MCDcons()
* R/CovRobust.R, Cov.R, AllGenerics.R, utils.R - fixed the plot
* method of CovRobust in case of singular covariance matrix
2006-12-21 Valentin Todorov
* 0.3-05
* fixed a bug in ltsReg (in the QQ-plot were plotted the residuals instead
* of the standardized reisuals)
* added dataset 'Fish Catch Data'
* added dataset 'Hemophilia'
2006-09-07 Valentin Todorov
* 0.3-04
* name the partial= argument of the sort function in covMcd3.R -
* necessary for the coming R 2.4.0
2006-07-08 Valentin Todorov
* 0.3-03
* Remove CRLF line endings of the files *.Rout.save in rrcov/tests directory
2006-06-01 Valentin Todorov
* 0.3-02
* add CovControlMcd function and CovControlMcd-class
* add CovMcd function and CovMcd-class
* add CovControlOgk function and CovControlOgk-class
* add CovOgk function and CovOgk-class
2006-05-21 Valentin Todorov
* 0.3-01
* NAMESPACE: add importFrom(stats4, plot, summary)
* add Marona and Yohai data set
* add Cov function and Cov-class
* add CovControl-class
* add CovControlMest function and CovControlMest-class
* add CovRobust-class
* add CovMest function and CovMest-class
2006-03-13 Valentin Todorov
* 0.2-13
* defined package namespace
* added constrained M-estimates (Rocke (1994,1996))
2006-02-10 Valentin Todorov
* 0.2-12
* FIXED - .fastmcd and fastlts does not return everything
* fixed problems in ltsReg in case of location model Y~1 (or x
is missing in ltsReg.default())
2006-02-06 Valentin Todorov
* 0.2-11
* added more data sets from Rousseeuw & Leroy: telef, lactic,
pension, pilot, cloud, education, airmay
* fixed codoc discrepancies in the data sets stars and wood
* ltsReg & covMcd - added options 'best' and 'exact' for nsamp
* ltsReg & covMcd - added parameter for controlling the small sample correction factors - use.correction
* rrcov.control - added parameter for controlling the small sample correction factors - use.correction
* ltsReg & covMcd - output of the consistency and the small sample correction factors
2005-10-24 Valentin Todorov
* 0.2-10
* minor corrections in the help of covPlot
* fixed bug in covPlot in case of class=TRUE
* tolellipse - both robust and classical ellipse are superimposed
* added directory inst/bm containing benchmarks comparing covMcd and ltsReg
to the corresponding functions in MASS, S-PLUS and Matlab
2005-10-17 Valentin Todorov
* 0.2-9
* minor corrections in the help of covMcd
* minor correction in ltsReg (false corrected to FALSE)
* covMcd - fixed the limitation on the number of variables <= 50
* ltsReg - fixed the limitation on the number of variables <= 50
* added function summary.mcd which prints (additionally to the output
of print.mcd) the correlation matrix (if requested), the eigenvalues
of the covariance or correlation matrix and the robust distances.
* added control object for the estimation options rrcov.control and
used in covMcd and ltsReg
2005-09-20 Valentin Todorov
* 0.2-8
* ltsReg: added formula interface
* ltsReg: adde generic functions summary.lts and print.summary.lts
* ltsReg: fixed a problem with reordering of the coeficients even in case
without intercept
2005-04-16 Valentin Todorov
* 0.2-7
* ltsReg: fixed a bug related to nsamp -> it was hard-coded = 500
in Fortran
* ltsPlot: default for id.n changed - instead of 3, now it is the
number of identified outliers
* ltsPlot: help enhanced
* covMcd, covPlot, tolellipse: tol.inv parameter changed to tol,
according the change in mahalanobis() in 2.1.0
2004-12-26 Valentin Todorov
* 0.2-6
* a bug in ltsReg (rsquared) fixed
* fixed CRLF line endings in FORTRAN sources
* fixed a problem in covMcd: in case of p=1 and cov=[0], the cov matrix was
a double instead of a matrix, which resulted in errors in subsequent
calls (e.g. determinant(mcd$cov) expects a matrix)
* fixed a problem in ltsReg when p==1 and Intercept==FALSE - the vectors of
coefficients ans$coefficients and ans$raw.coefficients were of size 2
* error handling added in ltsReg in case of scale=0
2004-09-16 Valentin Todorov
* 0.2-5
* several errors in doc fixed (ltsPlot.Rd, covPlot.Rd, aircraft.Rd)
2004-09-16 Valentin Todorov
* 0.2-4
* added Regression Diagnostic Plots - function ltsPlot()
* ...added Normal QQ Plot of the residuals
* ...added Standardized Residuals versus index plot
* ...added Standardized Residuals versus fitted values plot
* ...added Regression diagnostic plot
* ltsReg: the responce variable Y added to the result object
* covMcd: fixed a bug related to nsamp -> it was hard-coded = 500 in Fortran
* covMcd: fixed a bug - in case of alpha=1
* added S3 methods plot.mcd and plot.lts
* the S3 methods print.mcd and print.lts moved to separate R files
* added the stars data set (Hertzsprung-Russell diagram)
2004-07-13 Valentin Todorov
* 0.2-3
* improved documentation of the datasets
* added datasets aircraft and delivery
* added Covariance Plots - function covPlot()
* ...added Distance Plot - function distplot()
* ...added Distance-Distance Plot - function ddplot()
* ...added Chisquare QQ-Plot - function chi2qqplot()
* ...added Tolerance Ellipse Plot - function tolellipse()
* added function print.lts (for ltsReg result); included in the test tlts.R
* added function print.mcd (for covMcd result); included in the test tmcd.R
2004-06-26 Valentin Todorov
* 0.2-2
* fixed bug in Fortran: rfltsreg.f, xrfnbreak()
* Depends >= 1.8 (it was >= 1.9, because of the bug above)
* Parameter, controlling whether to perform intercept adjustment at each step added to ltsReg and its default value set to FALSE