NEWS.md

In kwstat/nipals: Principal Components Analysis using NIPALS or Weighted EMPCA, with Gram-Schmidt Orthogonalization

nipals 0.9 - unpublished

• Add avg_angular_distance() function.
• Add more tests.
• Switch to MIT license.
• Documentation via Github Actions.

nipals 0.8 (2021-08-01)

• Fix issue (#5). A floating-point error created a dot product outside [-1,1].

nipals 0.7 (2020-01-24)

• Fix 'additional issues' reported by CRAN (#3).

nipals 0.6 (2020-01-01)

• Calculating xhat with ncomp=1 now works (#2).

• nipals() now returns center and scale in the fitted model object, which makes it easier to get predictions from the model (#1).

• New (experimental) function empca() to calculate principal components via weighted EM PCA.

• Row/column names added to fitted matrix.

nipals 0.5 (2018-10-24)

• Row/column names added to fitted matrix.

• New startcol argument can now be a function which is applied to every column.

• There is a slight change to automatic start column selection. By default, the start column is the column with the largest sum of absolute values. (Formerly, the start column was the column with the largest variance, but this does not make sense when columns are scaled.)

nipals 0.4 (2018-02-11)

nipals 0.3 (2017-11-14)

• The nipals() function was split off from the gge package, extensively optimized and compared with implementations in other packages.
• First release to CRAN.

kwstat/nipals documentation built on July 21, 2024, 4:22 a.m.