| bombay | Bombay data set |
| coef-fitsir-method | Extract parameter of a fit |
| dispersion | S4 method for finding a dispersion parameter |
| dispersion-fitsir-method | Find dispersion parameter |
| Eval | S4 generic for evaluate an object |
| Eval-loglik.fitsir-method | Evaluate log likelihood model |
| fitsir | fitting function |
| fitsir-class | Class "fitsir". Result of SIR model fitting based on Maximum... |
| grad | S4 generic for computing a gradient |
| grad-loglik.fitsir-method | Evaluate the gradient of a model |
| harbin | 1912 Harbin plague data set |
| hessian | S4 generic for computing a hessian |
| hessian-loglik.fitsir-method | Evaluate the hessian of a model |
| initialize_hessian | initialize the hessian model |
| initialize-loglik.fitsir-method | the initializer for loglik.fitsir |
| loglik.fitsir-class | Class representing log-likelihood models used to fit the SIR... |
| mledsp | Maximum likelihood estimate of negative binomial dispersion... |
| phila1918 | 1918 Philadelphia flu data set |
| plot-fitsir-missing-method | Plot a fitsir object |
| predict-fitsir-method | Forecast from an SIR fit and find confidence interval |
| residuals-fitsir-method | Find residuals between the fit and the data |
| select_model | Select likelihood model |
| show-summary.fitsir-method | Show summary of a fit |
| SIR.detsim | deterministic trajectory of SIR |
| SIR.detsim.hessian | integrate second order sensitivities |
| SIR.grad | gradient function (solves with S,log(I) for stability) |
| SIR.hessian | find Hessian |
| SIR.logLik | Log-likelihood for SIR trajectory |
| SIR.sensitivity | Gradient of negative log likelihood with respect to each... |
| smooth.spline2 | Fit a spline to an epidemic data |
| startfun | Starting function |
| summarize.pars | Summarize parameters |
| summary.fitsir-class | Class "summary.fitsir". Summary of SIR model fit |
| summary-fitsir-method | Summarize the fit |
| Transform | S4 generic for transforming an object |
| Transform-loglik.fitsir-method | Transform the model |
| trans.pars | transform parameters |
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