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