- Remove dependency on
`dplyr`

because it changes too quickly and has too many other dependencies - Mild refactoring to improve code readability

- Patch to keep up with changes to
`lme4`

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

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 documentation for utility functions

Added a

`NEWS.md`

file to track changes to the package.Created and added a logo to the package. (#21, @adamblake)

Added the ability to change the type of sums of squares to calculate when computing the ANOVA tables. Users can choose from 1/I/sequential, 2/II/hierarchical, 3/III/orthogonal. (#22, @adamblake)

Added pedagogical function

`generate_models()`

for showing which models are being compared when evaluating terms in a model. This function also supports specification of the type of sums of squares to use. (#22, @adamblake)Updated the README to be generated from an Rmd file and to include information and examples regarding how to calculate different SS types and how to use

`generate_models()`

Added a data frame identical to Servers named Tables. This is a more appropriate name for the dataset because each row describes what happened at a table in the restaurant.

- Updated variable names and documentation to “table” as well.
- Added deprecation notice to Servers documentation as the table will be removed in the future.

Added support for multiple regression using Type III sums of squares

Updated README for more information, examples, and a description of how the calculation of the ANOVA tables follows the model comparison approach used in Judd, McClelland, & Ryan (2017).

This version of supernova is the original distributed on CRAN. Calculation of supernova() tables with *multiple* predictor variables in this version will not produce output similar to the reference text, Judd, McClelland, and Ryan. However, the values for *single* predictor models are correct.