Man pages for nianqiaoju/agents
Toolkit for inference in agent-based modelss
| agents-package | Toolkit for inference in agent-based modelss |
| check_model_config | check model configurations |
| check_particle_config | check particle configurations |
| compute_distance_metropolis_to_condbern | The Metropolis sampler for Conditional Bernoulli distribution |
| compute_tv_poisbinom_translatedpois | Compute the TV distance between Poisson-Binomial distribution... |
| couple_condbern_kernel | a coupling kernel that leaves conditional-bernoullis... |
| couple_metropolis_to_condbern | Coupled Metropolis algorithm for the Conditional-Bernoulli... |
| expit | Expit |
| get_meetingtime_metropolis_idchecking | The Metropolis sampler for Conditional Bernoulli distribution |
| idcheck_sampling | ID-check sampling |
| logdpoisbinom | Poisson Binomial distribution |
| logdsumbin | Sum of two independent Binomials |
| logdtranspoisson | translated Poisson distribution |
| logdtranspoisson_approx | translated Poisson approximation |
| logit | Logit function |
| lw.logmean | log-mean |
| lw.logsd | log-sd |
| lw.logsum | log-normalizing constant |
| lw_logsum_cpp | logsum using cpp |
| lw.normalize | Normalize log weights |
| lw_normalize_cpp | normalize logweights |
| metropolis_condbern | Metropolis algorithm targeting the Conditional Bernoulli... |
| mylast | Access the last element in a vector |
| mylogodds | log-odds |
| network_fully_connected | Network structure |
| network_sample_gnp | G(n,p) Erdos-Renyi model |
| network_sample_smallworld | Small world graph |
| rcondbern | Conditional Bernoulli distribution |
| rcppeigen_hello_world | Set of functions in example RcppEigen package |
| sir_backward_information_filter_sumbin | Controlled SMC for SIR model |
| sir_backward_information_filter_sumbin_dev | Controlled SMC for SIR model |
| sir_csmc | controlled SMC for SIR model |
| sir_forward_backward | Forward backward algorithm for the SIR model |
| sir_get_alpha | SIR model transition kernels |
| sir_get_state_space | State space for SIR model |
| sir_kernel | transition kernel for the SIR process |
| sir_kernel_twisted_i | Twisted SIR kernels |
| sir_kernel_twisted_ir | Twisted SIR kernels |
| sir_logdpoismulti_given_xxprev | SIR model |
| sir_loglikelihood_complete | SIR model likelihood |
| sir_log_transition_density | Markov transition kernel for SIR model |
| sir_simulate | SIR process |
| sir_xx_gibbs_blocked_kernel | SIR blocked gibbs |
| sir_xx_gibbs_singlesite_kernel | Gibbs sampler for SIR model |
| sir_xx_initialize | Gibbs sampler for SIR model |
| sis_apf | Fully adapted auxiliary Particle Filter for SIS model with... |
| sis_backward_information_filter_sumbin | Backward Information Filter for SIS model |
| sis_backward_information_filter_tp | Backward information filter for SIS model |
| sis_bpf | Bootstrap Particle Filter for SIS model with Population... |
| sis_csmc | controlled SMC sampler for SIS model with population-level... |
| sis_csmc_tp | controlled SMC sampler for SIS model with population-level... |
| sis_forward_backward | Forward backward algorithm for the SIS model |
| sis_get_alpha | Evoluation of the SIS model |
| sis_get_state_space | State space of SIS model |
| sis_loglikelihood_complete | Complete Likelihood for SIS model |
| sis_simulate | SIS process |
| sis_simulate_continuous | SIR process |
| sis_xx_gibbs_block_by_agents_kernel | SIS blocked gibbs |
| sis_xx_gibbs_singlesite_kernel | Gibbs sampler for SIS model |
| sis_xx_gibbs_swap_alltimes | Gibbs sampler for SIS model |
| sis_xx_gibbs_swap_at_time_kernel | SIS swap kernel |
| sis_xx_initialize | Initalize Gibbs sampler for SIS model |
| static_conditional_pmf_i | Conditional PMF of I in the static model |
| static_get_alpha | Parametrization of the static model |
| static_loglikelihood | Static Model Log Likelihood |
| static_xx_swap | Swap move for Conditional Bernoulli target |
