Values in the output object are values added from the two objects. The offset of the output is the maximum offset between the two input objects.

inner_addition(input_a, input_b)

Arguments

input_a

Module input object. List with two elements:

  1. A numeric vector named values: the incidence recorded on consecutive time steps.

  2. An integer named index_offset: the offset, counted in number of time steps, by which the first value in values is shifted compared to a reference time step This parameter allows one to keep track of the date of the first value in values without needing to carry a date column around. A positive offset means values are delayed in the future compared to the reference values. A negative offset means the opposite.

input_b

Module input object. List with two elements:

  1. A numeric vector named values: the incidence recorded on consecutive time steps.

  2. An integer named index_offset: the offset, counted in number of time steps, by which the first value in values is shifted compared to a reference time step This parameter allows one to keep track of the date of the first value in values without needing to carry a date column around. A positive offset means values are delayed in the future compared to the reference values. A negative offset means the opposite.

Value

Module input object. List with two elements:

  1. A numeric vector named values: the incidence recorded on consecutive time steps.

  2. An integer named index_offset: the offset, counted in number of time steps, by which the first value in values is shifted compared to a reference time step This parameter allows one to keep track of the date of the first value in values without needing to carry a date column around. A positive offset means values are delayed in the future compared to the reference values. A negative offset means the opposite.