Changes in version 2025-09-10                      

  - version 1.2-0
      - maintainer email update
      - added unit tests
      - fix code to solve CRAN check issues

                     Changes in version 2023-03-22                      

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

                     Changes in version 2013-11-09                      

  - 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

                     Changes in version 2013-10-15                      

  - 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()

                     Changes in version 2012-06-21                      

  - 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).

                     Changes in version 2012-06-16                      

  - 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)

                     Changes in version 2012-05-10                      

  - 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{}