Package index

Build

Build logistic regression models for exposure-response

lr_model()

Fit a logistic regression function

lr_predict()

Predictions and confidence intervals for logistic regression

lr_scm_forward() lr_scm_backward() lr_scm_history()

Stepwise covariate modelling for logistic regression

Plot

Exposure-response plots for logistic regression models

lr_plot() lr_plot_style() lr_plot_show_model() lr_plot_show_quantiles() lr_plot_show_datastrip() lr_plot_show_groups() lr_plot_build()

Builds an exposure-response plot for a logistic regression model

build_datastrip_jitter() build_group_boxplot() build_group_violin() build_model_ribbonline() build_model_spaghetti() build_quantile_errorbar() build_summary_pvalue()

Partial builders for logistic regression plots

Simulate

Simulation tools for exposure-response logistic regressions

lr_simulator()

Simulate from a logistic regression model

lr_vpc_sim()

VPC simulations for logistic regression models

lr_vpc_plot()

Plot VPC simulations for logistic regression models

Other

Other functions and objects

lr_data

Sample simulated data for logistic regression exposure-response models with covariates

logit() invlogit()

Logit and inverse logit functions

clopper_pearson()

Clopper-Pearson confidence interval for binary data

cut_exposure_quantile() cut_quantile()

Cut a continuous variable into quantiles