nestedLogit 0.4.2

• added an equatiomatic::extract_eq() method for “nestedLogit” objects
• added a vignette (“latex-equations”) illustrating use of LaTeX equations in Rmarkdown / Quarto documents for these models and various options available.
• fixed subtle LaTeX bug in extract_eq() when dichotomy names contain “_”
• added a submodel= arg to avoid $submodel indexing
• Fixed DOIs in RSQ.R now that CRAN is pickier about their format
• Fixed documentation nits from Roxygen 8.0.0

nestedLogit 0.4.1

• Added RSQ() function to compute pseudo-R² measures (McFadden, Cox-Snell, Nagelkerke, and others) for each dichotomy sub-model and for the combined polytomous model
• Added examples of RSQ() in the nestedLogit and other-examples vignettes
• Added methods RSQ.multinom() and RSQ.polr()

nestedLogit 0.4.0

This is a major release of the package adding considerable functionality for plotting and other features

• add gators data, food choice of alligators from Agresti
• added a vignette illustrating use of the ggeffects package for nestedLogit models
• added an article showing use of the easystats packages for nestedLogit models [not yet a vignette, because work on this is continuing]
• re-factored predict.nestedLogit() and related to its own file for improved documentation
• added ability for direct labels in plot.nested-ci.R
• Better description of nested logit and other models in README
• changed default colors for plot.nestedLogit() to use scales::hue_pal() for consistency with ggplot
• added scale argument to plot.nestedLogit() to allow plotting on the logit (log-odds) scale (scale = "logit") in addition to the default probability scale (scale = "prob")
• added as.tree() method for ASCII printing of the tree of nested dichotomies
• Added vignette: “Other Examples of Nested Logit Models”
• In the GSS data, “l.t.highschool” changed to “<highschool”
• Fixed problem with lty not passed to matplot() in plot.nestedLogit()
• In plot.nestedLogit(), added label.col argument (defaulting to the value of col in the call), to control the color of the curve label
• Add example of plotting predictions for dichotomies to ggeffects vignette
• Fixed problem in ggeffects vignette with predict_response() for nestedLogit models; see ggeffects issue #671
• Fixed problem in other-examples vignette traced to tibble not handled well in plot.nestedLogit
• Added rhub::rhub_check() workflow.

nestedLogit 0.3.4

This is a minor release, improving documentation

• add link to pkgdown documentation in DESCRIPTION
• edit description of nested dichotomies in README to include examples and relations with other models

nestedLogit 0.3.3

• Fixed documentation error in GSS.R
• createDichotomies methods now explicitly internal

nestedLogit 0.3.2

• new Effect method for "nestedLogit" objects to create effect displays.
• add Effect example to vignette

nestedLogit 0.3.1

• correct buglet in as.data.frame method when newdata has one column
• predict.nestedLogit() now includes the newdata data frame as an additional component (.data) in its result. Consequently, the newdata argument is no longer required in the as.data.frame method.

nestedLogit 0.3.0

This is a major enhancement to the package, adding computations of standard errors and confidence intervals to predicted probabilities and logits.

Enhancements

• The predict() method now computes standard errors for probabilities and logits using the delta method. These can be obtained for either the response probabilities (and equivalent logits) or for the predicted log odds of the individual dichotomies.
• A confint() method for the result of predict() generates the corresponding confidence intervals.
• as.data.frame() methods for predicted values, either for the nested logit model or for the separate dichotomies converts these to a data frame in long format, handy for using ggplot().
• Added a confint() method for predicted probabilities and logits
• The plot() method for "nestedLogit" objects now plots confidence intervals for predicted probabilities.
• A new vignette, “standard-errors”, describes the mathematics behind the standard error calculations.
• An old vignette on plotting methods was completely re-written using the new predict() methods and focusing exclusively on `ggplot2().

Other

• Added an example of lobstr::tree() to print nested lists
• Now use fig.show="hold" to keep par(op) with the code.

nestedLogit 0.2.1

• Reset all par() and options() calls so as to not alter user’s workspace.
• now document all return values.
• added a reference to DESCRIPTION. It is a book, so no doi:, url, etc.
• fixed one URL that win-builder (spuriously) complains about.

nestedLogit 0.2.0

• Now allow dichotomies to be specified by a nested (recursive) of binary splits of the categories [suggestion of Achim Zeileis]
• The model object is now of class “nestedLogit” for uniformity.
• A basic plot() method now operational
• Added a linearHypothesis() method to give Wald tests for hypotheses about coefficients or their linear combinations.
• Expanded vignette to illustrate some other methods.
• Added a models() generic and method to extract separate models from the "nestedLogit" object
• Added a logLike() method, and through it, gets AIC() and BIC()
• Reorganized documentation to separate nested hypothesis methods.

nestedLogit 0.1.0

• Initial version
• Added a NEWS.md file to track changes to the package.