title: "estimability" output: html_document date: '2022-07-03'
nonest.basis()
function is provided that determines a basis for the null
space of a matrix. This may be used in conjunction with is.estble()
to
determine the estimability (within a tolerance) of a given linear function of
the regression coefficients in a linear model.epredict()
methods are provided for lm
, glm
, and mlm
objects.
These work just like predict()
, except an NA
is returned for any cases that
are not estimable. This is a useful alternative to the generic warning that
"predictions from rank-deficient models are unreliable."estble.subspace()
that projects a set of linear functions onto an
estimable subspace (possibly of smaller dimension). This can be useful in
creating a set of estimable contrasts for joint testing.predict
methods.install.packages("estimability")
Release notes for the latest CRAN version are found at https://cran.r-project.org/package=estimability/NEWS -- or do news(package = "estimability")
for notes on the version you have installed.
devtools::install_github("rvlenth/estimability", dependencies = TRUE)
For latest release notes on this development version, see the NEWS file
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