NEWS
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 (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 (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 (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 (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 (2018-02-11)
- Added
estble.subspace() function.
estimability 1.2.1
- Moved codebase to github repository rvlenth/estimability.
estimability 1.2 (2016-11-19)
- Modified license to make it more compatible with dependents.
estimability 1.1-1 (2015-09-03)
- Added imports of non-base packages that are referenced.
estimability 1.1 (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().
estimability 1.0-2 (2015-01-31)