sir_csmc: controlled SMC for SIR model
In nianqiaoju/agents: Toolkit for inference in agent-based modelss
Description
Usage
Arguments
Value
Description
marginal likelihood estimations and samples from the posterior distribution of agent states
Usage
1
Arguments
y
, observations, length (T+1)
model_config
a list containing model parameters, must pass the test of check_model_config;
particle_config
a list specifying the particle filter, must pass the test of check_particle_config;
Value
the particle filter outcome, must contain estimate of log marginal likelihood and effective sample size.
nianqiaoju/agents documentation built on Feb. 19, 2021, 12:18 a.m.
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Description Usage Arguments Value
Description
marginal likelihood estimations and samples from the posterior distribution of agent states
Usage
1 |
Arguments
y |
, observations, length (T+1) |
model_config |
a list containing model parameters, must pass the test of check_model_config; |
particle_config |
a list specifying the particle filter, must pass the test of check_particle_config; |
Value
the particle filter outcome, must contain estimate of log marginal likelihood and effective sample size.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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