| epigrowthfit-package | R Package 'epigrowthfit' |
| as.list.coef.egf | Extract Coefficients and Random Effect Covariance Parameters |
| coef.egf | Extract Coefficients and Random Effect Covariance Parameters |
| coef.egf_no_fit | Extract Coefficients and Random Effect Covariance Parameters |
| coef.simulate.egf_model | Simulating Incidence Time Series |
| confint.egf | Confidence Intervals |
| confint.fitted.egf | Fitted Values |
| confint.predict.egf | Predicted Values |
| confint.profile.egf | Univariate Likelihood Profiles |
| cov2theta | Compute a Packed Representation of a Covariance Matrix |
| covid19.ontario | COVID-19 in Ontario, Canada |
| df.residual.egf | Extract the Residual Degrees of Freedom |
| df.residual.egf_no_fit | Extract the Residual Degrees of Freedom |
| dgi | Generation Interval Distribution |
| egf | Fit Nonlinear Mixed Effects Models of Epidemic Growth |
| egf-class | Description of Objects of Class 'egf' |
| egf.egf_model | Fit Nonlinear Mixed Effects Models of Epidemic Growth |
| egf.simulate.egf_model | Simulating Incidence Time Series |
| egf_control | Define Control Parameters |
| egf_control_plot | Define Control Parameters for Plotting |
| egf_has_converged | Test for Convergence |
| egf_has_random | Test for Random Effects |
| egf_model | Define a Top Level Nonlinear Model |
| egf_optimizer | Define an Optimization Method |
| egf_parallel | Define a Parallelization Method |
| egf_prior | Prior Distributions |
| egf_top | Top Level Nonlinear Model Parameter Names |
| egf_top.egf | Top Level Nonlinear Model Parameter Names |
| egf_top.egf_model | Top Level Nonlinear Model Parameter Names |
| egf_top.egf_no_fit | Top Level Nonlinear Model Parameter Names |
| epigrowthfit | R Package 'epigrowthfit' |
| epigrowthfit-defunct | Defunct Functions in Package 'epigrowthfit' |
| epigrowthfit-deprecated | Deprecated Functions in Package 'epigrowthfit' |
| epigrowthfit-notyet | Not Yet Implemented Functions in Package 'epigrowthfit' |
| extractAIC.egf | Extract the (Generalized) AIC |
| finalsize | Compute the Expected Epidemic Final Size |
| fitted.egf | Fitted Values |
| fitted.egf_no_fit | Fitted Values |
| fixef | Details about Fixed Effect Coefficients |
| fixef.egf | Details about Fixed Effect Coefficients |
| fixef.egf_no_fit | Details about Fixed Effect Coefficients |
| formula.egf | Extract Model Formulae |
| formula.egf_no_fit | Extract Model Formulae |
| getCall.egf | Extract Model Calls |
| getCall.egf_no_fit | Extract Model Calls |
| getCall.simulate.egf_model | Simulating Incidence Time Series |
| gi | Generation Interval Distribution |
| InverseWishart | Prior Distributions |
| labels.coef.egf | Extract Coefficients and Random Effect Covariance Parameters |
| LKJ | Prior Distributions |
| logLik.egf | Extract the Log (Marginal) Likelihood |
| model.frame.egf | Extract Model Frames |
| model.frame.egf_no_fit | Extract Model Frames |
| model.matrix.egf | Extract Design Matrices |
| model.matrix.egf_no_fit | Extract Design Matrices |
| nobs.egf | Extract the Number of Observations |
| nobs.egf_no_fit | Extract the Number of Observations |
| Normal | Prior Distributions |
| pgi | Generation Interval Distribution |
| plot.confint.egf | Confidence Intervals |
| plot.egf | Plot Nonlinear Mixed Effects Models of Epidemic Growth |
| plot.profile.egf | Univariate Likelihood Profiles |
| predict.egf | Predicted Values |
| print.coef.egf | Extract Coefficients and Random Effect Covariance Parameters |
| print.egf | Printing Model Objects |
| print.summary.egf | Model Summaries |
| profile.egf | Univariate Likelihood Profiles |
| qgi | Generation Interval Distribution |
| R0 | Compute the Basic Reproduction Number |
| ranef | Details about Random Effect Coefficients |
| ranef.egf | Details about Random Effect Coefficients |
| ranef.egf_no_fit | Details about Random Effect Coefficients |
| rgi | Generation Interval Distribution |
| simulate.egf | Simulation and Parametric Bootstrapping |
| simulate.egf_model | Simulating Incidence Time Series |
| summary.egf | Model Summaries |
| terms.egf | Model Terms |
| terms.egf_no_fit | Model Terms |
| theta2cov | Compute a Packed Representation of a Covariance Matrix |
| timescale | Compute the Characteristic Time Scale |
| vcov.egf | Model Covariance Matrices |
| Wishart | Prior Distributions |