Provides tools for determining estimability of linear functions of regression coefficients, and 'epredict' methods that handle non-estimable cases correctly. Estimability theory is discussed in many linear-models textbooks including Chapter 3 of Monahan, JF (2008), "A Primer on Linear Models", Chapman and Hall (ISBN 978-1-4200-6201-4).
Documentation: Downloads: Reverse dependencies: Reverse imports: effects, emmeans, rsm Reverse suggests: estimatr, fddm, fixest, GLMMadaptive, glmmTMB, LabApplStat, logistf, mmrm, robustlmm, sdmTMB, spmodel, survstan Linking:Please use the canonical form https://CRAN.R-project.org/package=estimability to link to this page.
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