| aggregate.multi_epiparameter | Aggregate multiple <epiparameter> objects into a single <epiparameter> object. |
| as.data.frame.epiparameter | 'as.data.frame()' method for <epiparameter> class |
| as.data.frame.multi_epiparameter | 'as.data.frame()' method for <multi_epiparameter> class |
| as.function.epiparameter | 'as.function()' method for <epiparameter> class |
| assert_epiparameter | Assert an object is a valid <epiparameter> object |
| as_epiparameter | Convert to an <epiparameter> object |
| as_epiparameter.data.frame | Convert <data.frame> to an <epiparameter> object |
| c.epiparameter | 'c()' method for <epiparameter> class |
| c.multi_epiparameter | 'c()' method for <epiparameter> class |
| calc_disc_dist_quantile | Calculate the quantiles of a probability distribution based on the vector of probabilities and time data (e.g. time since infection) |
| cdf.epiparameter | PDF, CDF, PMF, quantiles and random number generation for <epiparameter> objects |
| convert_params_to_summary_stats | Convert the parameter(s) of a distribution to summary statistics |
| convert_params_to_summary_stats.character | Convert the parameter(s) of a distribution to summary statistics |
| convert_params_to_summary_stats.epiparameter | Convert the parameter(s) of a distribution to summary statistics |
| convert_summary_stats_to_params | Convert the summary statistics of a distribution to parameters |
| convert_summary_stats_to_params.character | Convert the summary statistics of a distribution to parameters |
| convert_summary_stats_to_params.epiparameter | Convert the summary statistics of a distribution to parameters |
| create_citation | Create a citation for an <epiparameter> object |
| create_metadata | Specify metadata associated with data set |
| create_method_assess | Specify methodological aspects of distribution fitting |
| create_prob_distribution | Create a distribution object |
| create_region | Specify the geography of the data entry |
| create_summary_stats | Specify reported summary statistics |
| create_uncertainty | Specify distribution parameter uncertainty |
| density.epiparameter | PDF, CDF, PMF, quantiles and random number generation for <epiparameter> objects |
| discretise | Discretises a continuous distribution in an <epiparameter> object |
| discretise.default | Discretises a continuous distribution in an <epiparameter> object |
| discretise.epiparameter | Discretises a continuous distribution in an <epiparameter> object |
| discretize | Discretises a continuous distribution in an <epiparameter> object |
| epiparameter | Create an <epiparameter> object |
| epiparameter_db | Create <epiparameter> object(s) directly from the epiparameter library (database) |
| epiparameter_distribution_functions | PDF, CDF, PMF, quantiles and random number generation for <epiparameter> objects |
| epiparameter_options | Package options |
| epireview_core_cols | A vector of 'character' strings with the core column names of the epidemiological parameter data exported by the 'epireview' R package. |
| extract_param | Calculate the parameters of a parametric probability distribution from reported values of percentiles, or median and range |
| family.epiparameter | Family method for the <epiparameter> class |
| format.epiparameter | Format method for <epiparameter> class |
| generate.epiparameter | PDF, CDF, PMF, quantiles and random number generation for <epiparameter> objects |
| get_citation | Get citation from an object |
| get_citation.epiparameter | Get citation from an <epiparameter> object |
| get_citation.multi_epiparameter | Get citation from a list of <epiparameter> objects |
| get_parameters | Get parameters from an object |
| get_parameters.epiparameter | Get parameters from an <epiparameter> object |
| get_parameters.multi_epiparameter | Get parameters from an <epiparameter> object |
| is_continuous | Check if distribution in <epiparameter> is continuous |
| is_epiparameter | Check object is an <epiparameter> |
| is_epiparameter_params | Check whether the vector of parameters for the probability distribution are in the set of possible parameters used in the epiparameter package |
| is_parameterised | Check if <epiparameter> or list of <epiparameter> objects contains a distribution and distribution parameters |
| is_parameterised.epiparameter | Check if <epiparameter> or list of <epiparameter> objects contains a distribution and distribution parameters |
| is_parameterised.multi_epiparameter | Check if <epiparameter> or list of <epiparameter> objects contains a distribution and distribution parameters |
| is_parameterized | Check if <epiparameter> or list of <epiparameter> objects contains a distribution and distribution parameters |
| is_truncated | Check if distribution in <epiparameter> is truncated |
| lines.epiparameter | 'lines()' method for <epiparameter> class |
| mean.epiparameter | Mean method for <epiparameter> class |
| parameter_tbl | Table of epidemiological distributions |
| plot.epiparameter | Plot method for <epiparameter> class |
| plot.multi_epiparameter | 'plot()' method for <multi_epiparameter> class |
| print.epiparameter | Print method for <epiparameter> class |
| print.multi_epiparameter | Print method for <multi_epiparameter> class |
| quantile.epiparameter | PDF, CDF, PMF, quantiles and random number generation for <epiparameter> objects |
| test_epiparameter | Test whether an object is a valid <epiparameter> object |