MultiBDPureBirth2

MultiBDPureBirth2 is a slight extention of the MultiBD R package for direct likelihood-based inference of multivariate birth-death processes.

1. Install  `MultiBDPureBirth2` from `github`:
```{r}
devtools::install_github("vnminin/MultiBDPureBirth2")

library(MultiBDPureBirth2)

power_list = list(0.9,1,1)
names(power) = c("powS", "powI_inf",  "powI_rem")

SIR_prob_pure_birth(0.5, 0.1, 0.2, S0=1000, I0=10, nSI=4, nIR=0, direction = c("Forward","Backward"), power = power, nblocks = 20, tol = 1e-12, computeMode = 0, nThreads = 1)

1. Simple MCMC under SIR
2. SIR model and proposed branching approximation

MultiBDPureBirth2 is licensed under Apache License 2.0

• This project is supported in part through the National Science Foundation grant DMS 1264153 and National Institutes of Health grant R01 AI107034.

1. Ho LST, Xu J, Crawford FW, Minin VN, Suchard MA (2018). Birth/birth-death processes and their computable transition probabilities with biological applications. Journal of Mathematical Biology 76(4) 911-944.
2. Ho LST, Crawford FW, Suchard MA (2018). Direct likelihood-based inference for discretely observed stochastic compartmental models of infectious disease. Annals of Applied Statistics. In press.