d_dt_lotka_volterra_lna | Time-derivative for LNA of Lotka-Volterra CTMC |
ess | Effective sample size |
eve | Eve of particles |
eve.particles | Eve of particles |
eve-set | Set eve of particles |
eve_var_est | Variance estimator using ancestory |
generator_matrix_lotka_volterra_ctmc | Generator matrix for Lotka-Volterra continuous-time Markov... |
log_geometric_anneal_func | Functional for log geometric annealing schedule. |
log_lhood_lotka_volterra_ctmc | Log-likelihood for Lotka-Volterra continuous-time Markov... |
log_lhood_lotka_volterra_lna | Log-likelihood for Lotka-Volterra Linear Noise Approximation... |
log_likelihood_anneal_func | Functional for log likelihood annealing schedule. |
log_likelihood_anneal_func_da | Generic interface to annealed log-likeihood functions with... |
mh_da_step_bglr | Delayed-acceptance MH for symmetric kernel. |
mh_step | MH for symmetric kernel. |
min_da_mh_cost | Find tuning parameter with minimum computation cost under... |
min_mh_cost | Find tuning parameter with minimum computation cost under MH |
mvn_jitter | Jitter particles object with MVN kernel. |
names.particles | Extract names of elements in each particle. |
num_particles | Number of particles per component. |
papply | Apply function to all particles |
particles | Create particles object. |
p_components | Particle components. |
p_dim | Get the dimensions of the components of particles. |
print.particles | Print particles object. |
p_shape | Reshape components of particles to matrix. |
replace_particles | Replace (subset of) old set of particles with (subset of)... |
resample_multinomial | Generic multinomial resample |
resample_stratified | Generic stratified resample |
robust_mean_cov | Robust covariance and correlation estimation from matrix |
run_smc_da | Run SMC sampler with DA (or possibly not DA methods) |
select_reweight_particles | Select new set of particles from old, reweight. |
simulate_ctmc | Simulate continuous-time Markov chain |
simulate_lotka_volterra_ctmc | Simulate continuous-time Markov chain of Lotka-Volterra model |
smcdar | 'smcdar': A package for delayed-acceptance SMC. |
time_steps_to_min_quantile_dist_bootstrap | Calculate number of MH steps required until threshold is met. |
time_steps_to_min_quantile_dist_emp | Calculate number of MH steps required until threshold is met. |
time_steps_to_min_quantile_dist_gamma | Calculate number of MH steps required until threshold is met. |
time_steps_to_min_quantile_dist_median | Calculate number of MH steps required until threshold is met. |
time_steps_to_min_quantile_dist_normal | Calculate number of MH steps required until threshold is met. |
weights.particles | Get particle weights |
weights-set | Set weights |
weights-set-.particles | Set particle weights |
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