Simulate a piecewise constant-rate Poisson Point Process over (t_min, t_max] (inversion method)
where the intervals have the same length (are "regular").
vdraw_sc_step_regular_cpp(
lambda_matrix = NULL,
Lambda_matrix = NULL,
rate_matrix_t_min = NULL,
rate_matrix_t_max = NULL,
t_min = NULL,
t_max = NULL,
tol = 10^-6,
atmost1 = FALSE,
atmostB = NULL
)a matrix of event times t, with rows corresponding to the sampled point processes.
(matrix) intensity rates, one per interval
(matrix) integrated intensity rates at the end of each interval
(scalar | vector | column matrix) is the lower bound of the time interval for each row of (Lambda|lambda)_maj_matrix. The length of this argument is the number of point processes that should be drawn.
(scalar | vector | column matrix) the upper bound of the time interval for each row of (Lambda|lambda)_maj_matrix. The length of this argument is the number of point processes that should be drawn.
(scalar | vector | column matrix) is the lower bound
of a subinterval of (rate_matrix_t_min, rate_matrix_t_max]. If set,
times are sampled from the subinterval.
If omitted, it is equivalent to rate_matrix_t_min.
(scalar | vector | column matrix) is the upper bound
of a subinterval of (rate_matrix_t_min, rate_matrix_t_max]. If set,
times are sampled from the subinterval.
If omitted, it is equivalent to rate_matrix_t_max.
(scalar, double) tolerance for the number of events
boolean, draw at most 1 event time
If not NULL, draw at most B (B>0) event times. NULL means ignore.
x <- vdraw_sc_step_regular_cpp(
Lambda_matrix = matrix(1:5, nrow = 1),
rate_matrix_t_min = 100,
rate_matrix_t_max = 110,
atmost1 = FALSE
)
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