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 |
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. |
internal function, used by info.dengue.apply.mem. Defatul arguments passed to memmodel function:
epithresholds: list with full epimem report for each municipio_geocodigo, keyed by AP's name. dfthresholds: data frame with thresholds for each AP.
Marcelo F Gomes
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