check_output_type       Validate output type
check_poly_formula      Validate model formula as a polynomial
coef.lmodel2            Extract Model Coefficients
coefs2poly_eq           Format a polynomial as an equation
confint.lmodel2         Confidence Intervals for Model Parameters
find_peaks              Find local or global maxima (peaks) or minima
                        (valleys)
find_spikes             Find spikes
ggpmisc-package         ggpmisc: Miscellaneous Extensions to 'ggplot2'
keep_tidy               Tidy, glance or augment an object keeping a
                        trace of its origin
outcome2factor          Convert numeric ternary outcomes into a factor
plain_label             Format numbers as character labels
poly2character          Convert a polynomial into character string
predict.lmodel2         Model Predictions
scale_colour_logFC      Colour and fill scales for log fold change 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          Convenience scale for P-values
sprintf_dm              Format numeric values as strings
stat_correlation        Annotate plot with correlation test
stat_distrmix_eq        Predicted equation from distribution mixture
                        model fit
stat_distrmix_line      Predicted line from distribution mixture model
                        fit
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             Fitted-model summary and ANOVA tables
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_multcomp           Labels for pairwise multiple comparisons
stat_peaks              Local maxima (peaks) or minima (valleys)
stat_poly_eq            Equation, p-value, R^2, AIC and BIC of fitted
                        polynomial
stat_poly_line          Predicted line from linear model fit
stat_quant_band         Predicted band from quantile regression fits
stat_quant_eq           Equation, rho, AIC and 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
typeset_numbers         Typeset/format numbers preserving trailing
                        zeros
use_label               Assemble label and map it
xy_outcomes2factor      Convert two numeric ternary outcomes into a
                        factor
