NEWS.md

In estimability: Tools for Assessing Estimability of Linear Predictions

title: "NEWS for the estimability package"

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

• 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

• 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

• 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

• 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

• Added estble.subspace() function.

estimability 1.2.1

• Moved codebase to github repository rvlenth/estimability.

estimability 1.2

• Modified license to make it more compatible with dependents.

estimability 1.1-1

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

estimability 1.1

• 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().

1.0-2

• Initial version on CRAN

estimability documentation built on June 26, 2026, 9:08 a.m.