Package index • singlehit

End-to-end workflow

analyze_dose_response(): Run the complete microbial dose-response analysis

Data import

as_dose_response(): Standardize grouped dose-response data
read_dose_response(): Read grouped dose-response data

Trend test

dose_trend_test(): Pre-screen for an increasing dose-response trend

Model fitting

fit_dose_response(): Fit a mechanistic dose-response model
fit_dose_response_models(): Fit a set of dose-response models

Model response functions

exponential_response(): Evaluate an exponential dose-response model
beta_poisson_response(): Evaluate an approximate beta-Poisson dose-response model
exact_beta_poisson_response(): Exact beta-Poisson dose-response function
exact_beta_poisson_survival(): Exact beta-Poisson survival function
effective_dose(): Calculate an effective dose
prediction_curve(): Create prediction curves and bootstrap intervals

Diagnostics, comparison, and assessment

goodness_of_fit(): Goodness-of-fit statistics
compare_dose_response_models(): Compare fitted dose-response models
assess_dose_response_models(): Assess fitted dose-response models
consensus_model_decision(): Experimental consensus model decision

Bootstrap uncertainty

bootstrap_dose_response(): Bootstrap a fitted dose-response model
bootstrap_dose_response_async(): Start a non-blocking dose-response bootstrap
bootstrap_dose_response_models(): Bootstrap both dose-response models
collect_bootstrap(): Collect a non-blocking bootstrap job
bootstrap_confint(): Bootstrap percentile confidence intervals

broom / tidymodels methods

tidy(<qdr_fit>): Tidy a dose-response fit
glance(<qdr_fit>): Glance at a dose-response fit
augment(<qdr_fit>): Augment dose-response data with fitted values

Pooling multiple datasets

poolability_test(): Test whether dose-response datasets are statistically poolable
poolability_combinations(): Report poolability for every combination of datasets
group_datasets(): Group dose-response datasets into mutually poolable sets

Plotting

plot_dose_response(): Plot a fitted dose-response model
plot_model_overlay(): Overlay fitted models on one dose-response plot

Data

ward_rotavirus: Ward rotavirus human-challenge dose-response data