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Changelog

Source: NEWS.md

estimability 2.0.0

  • Changing maintainer to Michael Dumelle.
  • Converted documentation/NAMESPACE to use roxygen2.
  • Added (implicit) support for chol(..., pivot = TRUE) results. This is done by checking for “rank” and “pivot” attributes, and using them if present
  • Added discussion of Cholesky decompositions to documentation.
  • Added a complete example to the vignette.

estimability 1.5.1

CRAN release: 2024-05-12

  • Added pkgdown site.
  • We rolled back the required version of R to 4.1.0, same as emmeans package, so as to not require >=4.3.0 in packages that depend on this one.

estimability 1.5

CRAN release: 2024-02-20

  • We now require R >= 4.3.0, which plays along with the estimability changes in predict.lm() that came with R 4.3.0.
  • We re-coded the nonest.basis.qr to something much simpler, and the old version is kept available as legacy.nonest.basis.
  • Added a vignette was added to help developers add estimability checking to their package.

estimability 1.4.1

CRAN release: 2022-08-05

  • Correction to version 1.4. The new svd-based methods worked correctly only for n x p matrices with n >= p. Otherwise things go badly awry. And this is a big problem because I replaced the default nonest.basis() method with the svd method.

estimability 1.4

CRAN release: 2022-07-03

  • Added support for results of svd(), via nonest.basis.svd function and default method. The matrix method now uses the SVD instead of the QR decomposition.

estimability 1.3

CRAN release: 2018-02-11

estimability 1.2.1

  • Moved codebase to github repository rvlenth/estimability.

estimability 1.2

CRAN release: 2016-11-19

  • Modified license to make it more compatible with dependents.

estimability 1.1-1

CRAN release: 2015-09-03

  • Added imports of non-base packages that are referenced.

estimability 1.1

CRAN release: 2015-02-12

  • Design improvements to aid in potential scope and usability:
    • Made nonest.basis() a generic, with provided methods for “qr”, “matrix”, and “lm”.
    • Added eupdate() generic and “lm” method for updating a model object and including its nonestimability basis as part of the object. Added type = "matrix" and type = "estimability" options for epredict().