Package: qra 0.2.8.1

Introduction | Data setup and choice of model | Graphical Display | The choice of link function | Modeling the error distribution | Choices required for mixed model fits | Quasibinomial errors | Complementary log-log versus logit link | Details of the model fitting process | Fitted lines, vs fitted normal spline curves | Diagnostic checks | Uniform quantile-quantile plots --- an example. | AIC-based model comparisons | Estimates of $\rho$, and of the dispersion factor | Binomial errors, plus observation level random effects | Confidence intervals for ratios | 99% Lethal time estimates and confidence intervals | What difference does the choice of model make? | Further models and model fitting functions | Binomial errors, observation level random effects, and more | Fits using lme4::glmer() | AIC statistics | Control settings | Gaussian errors, on a complementary log-log scale | Parting comments | The assumed dose-response is a rough approximation! | References

Models for Binary Responses | The Binomial and Poisson --- R functions | More General Models for Binomial-like Counts | Notational conventions | The Pólya urn model as motivation for the betabinomial | Comparing the betabinomial with the quasibinomial | Data that do, and do not, appear binomial | Diseased plants data --- comparison of alternative models | Do differences from the binomial matter? | Numbers of males, in first 12 of 13 children | Bernoulli 0/1 data are a special case | Count data --- Poisson and Related Distributions | Data that do, and do not, appear Poisson | Models for Poisson-Like Counts | References

Plot data | Plot 1988 and 1989 data separately | Correct for control mortality