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
mlmobjects. These work just like
predict(), except an
NAis 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
To install latest version from CRAN, run
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.
To install the latest development version from Github, have the newest devtools package installed, then run
devtools::install_github("rvlenth/estimability", dependencies = TRUE)
For latest release notes on this development version, see the NEWS file