NEWS

---

robustfa 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

robustfa 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

robustfa 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()

robustfa 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).

robustfa 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)

robustfa 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{}