README.md
In rvlenth/estimability: Tools for Assessing Estimability of Linear Predictions
R package estimability: Support for determining estimability of linear functions
Website:
https://rvlenth.github.io/estimability/
Features
- A
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.
- A set of
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."
- A function
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.
- Package developers may wish to import this package and incorporate
estimability checks for their
predict methods.
Installation
- To install latest version from CRAN, run
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.
- 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
rvlenth/estimability documentation built on June 10, 2024, 7:59 a.m.
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
R package estimability: Support for determining estimability of linear functions
Website:
https://rvlenth.github.io/estimability/
Features
- A
nonest.basis()function is provided that determines a basis for the null space of a matrix. This may be used in conjunction withis.estble()to determine the estimability (within a tolerance) of a given linear function of the regression coefficients in a linear model. - A set of
epredict()methods are provided forlm,glm, andmlmobjects. These work just likepredict(), except anNAis 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." - A function
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. - Package developers may wish to import this package and incorporate
estimability checks for their
predictmethods.
Installation
- To install latest version from CRAN, run
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.
- 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
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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