PRIME - A Software Toolkit for the Characterization of Partially Observed Epidemics in a Bayesian Framework
Getting Started:
About
Model:
1. Model description
2. Data
3. Bayesian Framework
Examples:
4. One-Wave Model
5. Multi-Wave Model
6. Multi-region Model
Reference Guide
7. Developer Reference Guide
PRIME - A Software Toolkit for the Characterization of Partially Observed Epidemics in a Bayesian Framework
Index
Index
A
|
C
|
G
|
I
|
L
|
M
|
P
|
R
|
S
A
ammcmc() (in module source_release.prime_mcmc)
C
compute_error_weight() (in module source_release.prime_utils)
G
get_counts() (in module source_release.prime_run)
I
incubation_fcn() (in module source_release.prime_incubation)
infection() (in module source_release.prime_infection)
infection_rate() (in module source_release.prime_infection)
L
logpost() (in module source_release.prime_posterior)
logpost_negb() (in module source_release.prime_posterior)
logpost_poisson() (in module source_release.prime_posterior)
M
main() (in module source_release.prime_plot_data)
(in module source_release.prime_run)
modelPred() (in module source_release.prime_model)
module
source_release.prime_incubation
source_release.prime_infection
source_release.prime_mcmc
source_release.prime_model
source_release.prime_plot_data
source_release.prime_posterior
source_release.prime_run
source_release.prime_utils
P
prediction_filename() (in module source_release.prime_utils)
R
runningAvg() (in module source_release.prime_utils)
S
save_mcmc_chain() (in module source_release.prime_mcmc)
source_release.prime_incubation
module
source_release.prime_infection
module
source_release.prime_mcmc
module
source_release.prime_model
module
source_release.prime_plot_data
module
source_release.prime_posterior
module
source_release.prime_run
module
source_release.prime_utils
module