extract_eq() added for
model_fit objects of the {parsnip} package, and for workflow objects
of the {workflows} package, see
#237. Previously,
the model object had to be extracted using parsnip::fit() before using
extract_eq(). This is not necessary any more, but still valid (no breaking
changes). Note that extract_eq() cannot handle yet all {tidymodels}. For
instance, it can handle reg_linear(), but cannot handle
reg_linear() |> set_engine("stan"). There is currently no plan to support
all {tidymodels} models, but pull requests will be considered if you find
and solve a problematic case by yourself.extract_eq() are now properly
documented in the extract_eq() help page.add_greek.forecast_ARIMA and add_coefs.forecast_ARIMA (first argument
side= is renamed rhs=).for census_division l = 1 is now
rendered as for census\_division l = 1).se_subscripts argument, which allows the standard error for each coefficient to be included in parentheses below the coefficient when se_subscripts = TRUE. This is supported for lm and glm models.renderEq() and eqOutput() functions for working with equatiomatic with shiny.greek_colors, subscript_colors, var_colors and var_subscript_colors arguments.swap_var_names and swap_subscript_names arguments to change
the names of the variables or subscripts in the rendered equationlme4::glmer() models.return_variances argument, which allows users to optionally return the variance/covariances in lme4::lmer() and lme4::glmer() modelsfont_size argument, which takes any LaTeX font size (see here)label argument, which allows for cross-referencing equation in-text
with PDF outputs.poly(), log(), and exp() functions for in-line equations, and will drop the I() for generic in-line equation operationlme4::lmer() and and lme4::glmer() modelslme4::lmer() modelslme4::lmer() models now allow for in-line alterations to the code, e.g., I(n >5).New models: This is the first version to support lme4::lmer() models and
forecast::Arima() models.
New vignettes for each of the new models supported.
New vignette showing how to use the package with plotting
Switched the testing framework to use snapshot testing
Uses new print method so users no longer have to specify results = "asis" in
the R Markdown chunk option
Fixed error in rendering logistic/probit regression equations by removing the epsilon (error term) at the end of the left-hand side
The epsilon (error term) is no longer shown when rendering the fitted model
equation, i.e. use_coefs = TRUE, for lm models. The hat sign is also added
to the response variable.
Initial CRAN Release
Extracts equations for lm models
Extracts equations for glm models with family = binomial(link = "logit")
or family = binomial(link = "probit")
Extracts equations form ordered regression models using MASS::polr or
ordered::clm for logit and probit link functions
glm models have an optional show_distribution argument to show the
distributional assumptions
All equations can be displayed using Greek notation or the estimated coefficients
The raw_tex code can be used to supply custom TeX code for the intercept or
the coefficients, through the intercept and greek arguments respectively
Long equations can be wrapped to multiple lines with the optional wrap
argument. The length of the wrapping is controlled by terms_per_line.
Added a NEWS.md file to track subsequent changes to the package.