Moved                   Moved to package 'gginnards'
coef.lmodel2            Extract Model Coefficients
confint.lmodel2         Confidence Intervals for Model Parameters
ggpmisc-package         ggpmisc: Miscellaneous Extensions to 'ggplot2'
outcome2factor          Convert numeric ternary outcomes into a factor
predict.lmodel2         Model Predictions
quadrant_example.df     Example gene expression data
scale_colour_outcome    Colour and fill scales for ternary outcomes
scale_shape_outcome     Shape scale for ternary outcomes
scale_x_logFC           Position scales for log fold change data
scale_y_Pvalue          Covenience scale for P-values
stat_correlation        Annotate plot with correlation test
stat_fit_augment        Augment data with fitted values and statistics
stat_fit_deviations     Residuals from model fit as segments
stat_fit_glance         One row summary data frame for a fitted model
stat_fit_residuals      Residuals from a model fit
stat_fit_tb             Model-fit summary or ANOVA
stat_fit_tidy           One row data frame with fitted parameter
                        estimates
stat_ma_eq              Equation, p-value, R^2 of major axis regression
stat_ma_line            Predicted line from major axis linear fit
stat_peaks              Local maxima (peaks) or minima (valleys)
stat_poly_eq            Equation, p-value, R^2, AIC or BIC of fitted
                        polynomial
stat_poly_line          Predicted line from model fit
stat_quant_band         Compute predicted line from quantile regression
                        fit
stat_quant_eq           Equation, p-value, R^2, AIC or BIC from
                        quantile regression
stat_quant_line         Predicted line from quantile regression fit
swap_xy                 Swap x and y in a formula
symmetric_limits        Expand a range to make it symmetric
volcano_example.df      Example gene expression data
xy_outcomes2factor      Convert two numeric ternary outcomes into a
                        factor
