The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
MultiBD
is an R
package for direct
likelihood-based inference of multivariate birth-death processes.
install.packages(c("Rcpp", "RcppParallel", "BH", "devtools"))
MultiBD
from github
(until package
becomes available via CRAN
):devtools::install_github("msuchard/MultiBD")
library(MultiBD)
data(Eyam)
loglik_sir <- function(param, data) {
alpha <- exp(param[1]) # Rates must be non-negative
beta <- exp(param[2])
# Set-up SIR model
drates1 <- function(a, b) { 0 }
brates2 <- function(a, b) { 0 }
drates2 <- function(a, b) { alpha * b }
trans12 <- function(a, b) { beta * a * b }
sum(sapply(1:(nrow(data) - 1), # Sum across all time steps k
function(k) {
log(
dbd_prob( # Compute the transition probability matrix
t = data$time[k + 1] - data$time[k], # Time increment
a0 = data$S[k], b0 = data$I[k], # From: S(t_k), I(t_k)
drates1, brates2, drates2, trans12,
a = data$S[k + 1], B = data$S[k] + data$I[k] - data$S[k + 1],
computeMode = 4, nblocks = 80 # Compute using 4 threads
)[1, data$I[k + 1] + 1] # To: S(t_(k+1)), I(t_(k+1))
)
}))
}
loglik_sir(log(c(3.204, 0.019)), Eyam) # Evaluate at mode
MultiBD
is licensed under Apache License 2.0
Beta
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.