Function reference • imcover

All functions
`as.ic_data()` `is.ic_data()`	Convert foreign object to an ic data object
`download_wuenic()` `download_coverage()` `download_survey()` `download_denom()`	Download WUENIC data files
`filter_yovi()`	Filter ic data records based on year of vaccine introduction Exclude ic data records for years when a vaccine had not been fully introduced in a country.
`get_attr()`	Get the attributes of ic data Retrieve the value(s) of attributes from an `ic.df` dataset. While intended to be used with the core ic attributes, it will work with any named attribute.
`get_region()`	Get regional groupings for country codes Retrieve a list of the region based on the ISO3c alpha codes.
`get_yovi()`	Get year of introduction for vaccines Retrieve a list of the year when a vaccine was introduced to the entire country.
`[`(<ic.df>)	Extract or replace parts of ic data
`ic_adjust()` `ic_ratio()`	Adjust 'ic' coverage data
`ic_core()`	List core attributes for ic data Retrieve the names of the core attributes that can be expected in `ic.df` data.
`ic_coverage()`	Summarise posterior estimates of immunisation coverage
`ic_data()`	Create an ic data object
`ic_expand()`	Expand ic data to include all potential years.
`ic_filter()`	Filter immunisation coverage records
`ic_fit()` `ic_fit_single(<ic.df>)`	Multi-source immunisation coverage model with Stan
`ic_fit_single()`	Multi-source immunisation coverage model with Stan
`ic_plot()`	Plot ic fit objects
`ic_regional()`	Regional immunisation coverage
`ic_survey()`	Create an ic data object
`ic_update()`	Update ic data to adjust denominators.
`imcover-package`	imcover: An R package for immunisation coverage modelling
`list_vaccines()` `list_countries()` `list_times()` `list_sources()`	List unique attributes
`log_lik(<icfit>)`	Extract posterior sample of the pointwise log-likelihood from a icfit object.
`loo(<icfit>)` `loo(<iclist>)`	Leave-one-out cross-validation
`merge(<ic.df>)`	Merge two ic data objects Merge two `ic.df` data objects by common columns while preserving the attributes
`names<-`(<ic.df>) `names(<ic.df>)`	The names of an ic object
`plot(<icfit>)`	Plot ic fit objects
`plot(<iclist>)`	Plot ic fit objects
`predict(<icfit>)`	Posterior predictions of vaccination coverage
`rbind(<ic.df>)`	Combine ic data objects by rows
`summary(<icfit>)` `summary(<iclist>)` `print(<summary.icfit>)` `print(<summary.iclist>)`	Summary methods for 'ic' fit objects
`survey_adjust()`	Survey recall-bias adjustment
`survey_reduce()`	Select survey records from an `ic_survey` dataset
`waic(<icfit>)` `waic(<iclist>)`	Widely applicable information criterion (WAIC)

Reference

All functions