Package index • modelit

All functions
`anova(<lm_>)`	ANOVA Tables for Enhanced Linear Models (`lm_`)
`anova_()`	ANOVA tables with the original object as an attribute
`as.function(<lm>)`	Transform an lm or glm model into a function
`as.function(<nls>)`	Transform an nls model into a function
`chart(<lm>)` `autoplot.lm()`	Chart an lm or glm model or diagnose its residuals visually
`chart(<nls>)` `autoplot.nls()`	Chart an nls model or diagnose its residuals visually
`equation(<nls>)` `equation(<summary.nls>)`	Get a LaTeX equation from an nls or the summary of a nls models
`fit_model()` `summary(<model_fit>)` `anova(<model_fit>)` `plot(<model_fit>)` `chart(<model_fit>)` `as.function(<model_fit>)` `coef(<model_fit>)` `vcov(<model_fit>)` `confint(<model_fit>)` `fitted(<model_fit>)` `residuals(<model_fit>)` `rstandard(<model_fit>)` `cooks.distance(<model_fit>)` `hatvalues(<model_fit>)` `deviance(<model_fit>)` `AIC(<model_fit>)` `BIC(<model_fit>)` `family(<model_fit>)` `nobs(<model_fit>)` `formula(<model_fit>)` `variable.names(<model_fit>)` `labels(<model_fit>)`	Fit a parsnip model and manipulate it as a base R model like lm
`glm_()`	Fitting Generalized Linear Models with Enhanced Output (Experimental)
`lm_()`	Fitting Linear Models with Enhanced Output (Experimental)
`modelit` `modelit-package`	'SciViews::R' - Statistical Models
`add_predictions()` `add_residuals()` `geom_ref_line()` `rmse()` `mae()` `qae()` `rsquare()`	Reexport of modelr functions
`nls_()`	Fitting Non Linear Models with Enhanced Output (Experimental)
`summary(<lm_>)`	Summarizing Linear Model Fits with Enhanced Output
`summary_()`	Object summaries with the original object as an attribute
`tabularise_coef(<glm>)`	Create a rich-formatted table using the coefficients of a glm object
`tabularise_coef(<lm>)`	Create a rich-formatted table using the coefficients of an lm object
`tabularise_coef(<nls>)`	Create a rich-formatted table using the coefficients of the nls object
`tabularise_coef(<summary.glm>)`	Create a rich-formatted table using the table of coefficients of the summary.glm object
`tabularise_coef(<summary.lm>)`	Create a rich-formatted table using the table of coefficients of the summary.lm object
`tabularise_coef(<summary.nls>)`	Create a rich-formatted table using the table of coefficients of the summary.nls object
`tabularise_default(<anova>)`	Create a rich-formatted table from an anova object
`tabularise_default(<aov>)`	Create a rich-formatted table from an aov object
`tabularise_default(<glm>)`	Create a rich-formatted table from a glm object
`tabularise_default(<lm>)`	Create a rich-formatted table from an lm object
`tabularise_default(<nls>)`	Create a rich-formatted table from a nls object
`tabularise_default(<summary.glm>)`	Create a rich-formatted table from a summary.glm object
`tabularise_default(<summary.lm>)`	Create a rich-formatted table from an summary.lm object
`tabularise_default(<summary.nls>)`	Create a rich-formatted table from the summary of a nls object
`tabularise_glance(<glm>)`	Create a glance version of the glm object as a rich-formatted table
`tabularise_glance(<lm>)`	Glance version of the lm object into a flextable object
`tabularise_glance(<nls>)`	Glance version of the nls object into a flextable object
`tabularise_tidy(<anova>)`	Tidy version of the anova object into a flextable object
`tabularise_tidy(<aov>)`	Tidy version of the aov object into a flextable object
`tabularise_tidy(<glm>)`	Create a tidy version of the glm object as a rich-formatted table
`tabularise_tidy(<lm>)`	Tidy version of the lm object into a flextable object
`tabularise_tidy(<nls>)`	Tidy version of the nls object into a flextable object

Reference

All functions