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2023-03-22 Frederic Bertrand frederic.bertrand@utt.fr

* version 1.1-0
* fix code to have the package back on CRAN
* fix code to comply with CRAN remarks during the submission process

2013-11-09 Ying-Ying Zhang (Robert) robertzhangyying@qq.com

* version 1.0-5
* in util.R: 
    1) computeScores(): 
        add res$correlation = correlation
        add res$reducedCorrelation = NULL
        change res$eigenvalues = eigen(S)$values
* in factorScorePca.R: 
    1) add res$reducedCorrelation = NULL,
    2) change res$eigenvalues = eigen(S)$values
* in factorScorePfa.R: 
    1) res$covariance = covariance
    2) res$correlation = correlation
    3) res$reducedCorrelation = reducedCorrelation
    4) change res$eigenvalues = eigen(S)$values
* in AllClasses.R:
    1) add slots for Fa: cor, reducedCorrelation
* in FaClassic.R and FaCov.R
    1) add slot: cor, reducedCorrelation
* in Fa.R
    1) revise method: summary

2013-10-15 Ying-Ying Zhang (Robert) robertzhangyying@qq.com

* version 1.0-4
* large revision
* in util.R: 
    1) add compute_cov_cor()
    2) revise computeScores()
* in factorScorePca.R and factorScorePfa.R: 
1) add a variable scaledX
2) change the formula of computation of F
    3) add cor argument
    4) add the following components of return value: covariance, usedMatrix
* in FaClassic.R and FaCov.R
1) add cor argument
2) add the following codes:
      if(scoresMethod != "none" && method == "mle")
      out <- computeScores(out, x = data, covmat = covmat, cor = cor, scoresMethod = scoresMethod)
3) add slots: covariance, usedMatrix
* in AllClasses.R
1) add slots for Fa: covariance, usedMatrix
* in Fa.R 
1) revise getFa()
2) revise summary()
3) revise predict()

2012-06-21 Ying-Ying Zhang (Robert) robertzhangyying@qq.com

* version 1.0-03
* DESCRIPTION: 
    1) Depends: methods, robustbase, pcaPP, mvtnorm, rrcov, R (>= 2.15.0)
       Because the most recent robustfa 1.0-02 update does not work with R-oldrelease (i.e. R-2.14.2).

2012-06-16 Ying-Ying Zhang (Robert) robertzhangyying@qq.com

* version 1.0-02
* DESCRIPTION: 
    1) Depends: methods, robustbase, pcaPP, mvtnorm, rrcov
    2) Imports: stats4, stats
    3) Suggests: grid, lattice, cluster, mclust, MASS, ellipse
* NAMESPACE:
    1) importFrom(stats4, plot, summary, show)
    2) importFrom(rrcov, getCenter, getEigenvalues, getLoadings, getQuan, getScores, getSdev)

2012-05-10 Ying-Ying Zhang (Robert) robertzhangyying@qq.com

* version 1.0-01
* in AllClasses.R: 
    1) add Fa@: communality, scoringCoef, meanF, corF
* in FaClassic.R: 
1) add res@: communality, scoringCoef, meanF, corF
2) change scores to outComputeScores
* in FaCov.R: 
1) add res@: communality, scoringCoef, meanF, corF
2) change scores to outComputeScores
* in factorScorePfa.R: 
    1) change res$correlation
    2) change res$eigenvalues
    3) add correlation=R
* in utils.R: 
    1) change the function computeScores() a lot
* computeScores.Rd:
    1) revise \value{}
    2) revise \examples{}

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