applymem: Get epidemic thresholds for a list of cities
In claudia-codeco/AlertTools: utility functions for the Alerta Dengue System

Description Usage Arguments Details Value Author(s)

Function to apply epimem algorithm on df.data and generate full reports as well as a data frame with summary of relevant thresholds (pre, pos, mid, high, veryhigh)

1	applymem(df.data, l.seasons, ...)

`df.data`	data frame with municipio_geocodigo in a column named municipio_geocodigo, and incidence seasons in each column each row gives the incidence in each season, for each municipio_geocodigo, for each week.
`l.seasons`	vector with incidence columns to be used. Additional arguments accepted by memmodel function
`i.n.max`	Number of pre-epidemic values used to calculate the threshold.
`i.type.curve`	Type of confidence interval to calculate the modelled curve.
`i.level.threshold`	Level of confidence interval to calculate the threshold.
`i.level.curve`	Level of confidence interval to calculate the modelled curve.
`i.data`	Data frame of input data.
`i.seasons`	Maximum number of seasons to use.
`i.type.threshold`	Type of confidence interval to calculate the threshold.
`i.tails.threshold`	Tails for the confidence interval to calculate the threshold.
`i.type.intensity`	Type of confidence interval to calculate the intensity thresholds.
`i.level.intensity`	Levels of confidence interval to calculate the intensity thresholds.
`i.tails.intensity`	Tails for the confidence interval to calculate the threshold.
`i.type.other`	Type of confidence interval to calculate length, start and percentages.
`i.level.other`	Level of confidence interval to calculate length, start and percentages.
`i.method`	Method to calculate the optimal timing of the epidemic.
`i.param`	Parameter to calculate the optimal timing of the epidemic.
`i.type.boot`	Type of bootstrap technique.
`i.iter.boot`	Number of bootstrap iterations.