UCLATALL Supernova Versions Save

• Fixes issues with lintr causing R CMD CHECK to fail
• Changes maintainer to @adamblake
• Changes mislabeled factor level in Fingers$Interest to "Very Interested"

• Removes supernova-vctrs from exports

Hotfix

• Adds minimum version requirement for pillar (thanks @cedricbatailler)

R3.4 Compatibility

New features

There are four new pairwise comparisons functions:

• pairwise()
• pairwise_t()
• pairwise_bonferroni()
• pairwise_tukey()

Each of these determines all the pairwise comparisons that can be made for a model (fit by lm()) and then computes the comparisons. For pairwise_t() no correction is made for multiple comparisons, but for the others, the named correction is made. These corrections can also be specified as arguments to the pairwise() wrapper function. Each function produces output that has customized printing, supports most (if not all) normal data frame actions, and a plotting function that graphs the mean differences and their confidence intervals.

New features

• Dependency on lme4 is moved to Suggests. Models implementing lmerMod are handled via supernova.lmerMod and variables.lmerMod but use of the lme4 package is limited to tests.
• More robust and readable implementation of variables() using the new formula utility functions added. See ?formula_building, ?formula_expansion, and ?formula_extraction.
• Add a new function equation() to extract the fitted equation from a linear model (lm()) (thanks for the suggestion from @ave-63!)

Minor Changes

• Remove dependency on dplyr because it changes too quickly and has too many other dependencies
• Mild refactoring to improve code readability

Bugfixes:

• Keep up with updates to lme4
• Fix problem where removing missing cases would produce multiple warnings instead of one

New Features

Add support for mixed models (as in nested and crossed). See the README for more information.

New Features

Extend supernova to handle within (crossed) designs

• Add lme4 and dplyr to Imports
• Update R dependency to 3.5.0 (for serialized data; Rds)
• Convert supernova to S3 class with methods for lm and lmerMod
• Add tests for supernova() for crossed (but not nested) lmer() fits
• Extend print.supernova to handle new models

Minor Changes

• Refactor utility functions into utils.R
• Add internal documentaiton for utility functions