threshold: Identifies and adjusts jumps and drops

In RashiMohta/COVID-19-cases-prediction: Jump-drop adjusted prediction of cumulative infected cases using the modified SIS model

Identifies and adjusts jumps and drops

Description

Identifies jumps and drops using given metric and adjusts if the length of the jump or drop is less than the upper bound.

Usage

threshold(ub_for_adjustment, bound_metric, df_confirmed_values)

Arguments

ub_for_adjustment	upper bound for the duration of a jump or drop
bound_metric	C1, C2, or C3 metric can be selected
df_confirmed_values	Dataframe of dates and observed number of daily confirmed cases

Value

Returns dataframe of dates and adjusted data using given metric

Note

This function is called in "sisd_cummulative"

RashiMohta/COVID-19-cases-prediction documentation built on Oct. 26, 2024, 9:48 a.m.