"SimInf_events"Class to hold data for scheduled events to modify the discrete state of individuals in a node at a pre-defined time t.
EEach row corresponds to one compartment in the model. The
non-zero entries in a column indicates the compartments to
include in an event. For the exit, internal
transfer and external transfer events, a non-zero
entry indicate the compartments to sample individuals from.
For the enter event, all individuals enter first
non-zero compartment. E is sparse matrix of class
dgCMatrix.
NDetermines how individuals in internal transfer and
external transfer events are shifted to enter another
compartment. Each row corresponds to one compartment in the
model. The values in a column are added to the current
compartment of sampled individuals to specify the destination
compartment, for example, a value of 1 in an entry
means that sampled individuals in this compartment are moved
to the next compartment. Which column to use for each event
is specified by the shift vector (see below). N
is an integer matrix.
eventType of event: 0) exit, 1) enter, 2) internal transfer, and 3) external transfer. Other values are reserved for future event types and not supported by the current solvers. Integer vector.
timeTime of when the event occurs i.e., the event is
processed when time is reached in the simulation. time
is an integer vector.
nodeThe node that the event operates on. Also the source
node for an external transfer event. Integer vector.
1 <= node[i] <= Number of nodes.
destThe destination node for an external transfer
event i.e., individuals are moved from node to
dest, where 1 <= dest[i] <= Number of nodes.
Set event = 0 for the other event types. dest
is an integer vector.
nThe number of individuals affected by the event. Integer vector. n[i] >= 0.
proportionIf n[i] equals zero, the number of
individuals affected by event[i] is calculated by
sampling the number of individuals from a binomial
distribution using the proportion[i] and the number of
individuals in the compartments. Numeric vector. 0 <=
proportion[i] <= 1.
selectTo process event[i], the compartments affected
by the event are specified with select[i] together with
the matrix E, where select[i] determines which
column in E to use. The specific individuals affected
by the event are proportionally sampled from the compartments
corresponding to the non-zero entries in the specified column
in E[, select[i]], where select is an integer
vector.
shiftDetermines how individuals in internal transfer
and external transfer events are shifted to enter
another compartment. The sampled individuals are shifted
according to column shift[i] in matrix N i.e.,
N[, shift[i]], where shift is an integer vector.
See above for a description of N. Unsued for the other
event types.