# equatiomatic 0.2.0

**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.

# equatiomatic 0.1.0

- 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.