#' ## Only killing and drift ##
#'
#' For the CPP LFM parametrization with *no* jump, but drift and killing, we
#' chose the parameters \( \alpha = 0.6 \) (drift) and \( \beta = 0.2 \) (rate
#' killing).
#+ r parameters
n <- 1e3
d <- 15
alpha <- 0.6
beta <- 0.2
bf <- SumOfBernsteinFunctions(
first = ConstantBernsteinFunction(constant = alpha),
second = LinearBernsteinFunction(scale = beta)
)
intensities <- intensities(bf, d)
ex_intensities <- exIntensities(bf, d)
#+ r bench
mark(
Armageddon = rpextmo(
n, d, a = alpha, b = beta, family = "Armageddon", method = "ESM"
),
ExMarkovian = rexmo(n, d, ex_intensities, method = "MDCM"),
LFM = rpextmo(
n, d, a = alpha, b = beta, family = "Armageddon", method = "LFM"
),
Arnold = rmo(n, d, intensities, method = "AM"),
ESM = rmo(n, d, intensities, method = "ESM"),
min_iterations = 100L,
check = FALSE
)
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