Man pages for bonStats/smcdar
Delayed-acceptance SMC

d_dt_lotka_volterra_lnaTime-derivative for LNA of Lotka-Volterra CTMC
essEffective sample size
eveEve of particles
eve.particlesEve of particles
eve-setSet eve of particles
eve_var_estVariance estimator using ancestory
generator_matrix_lotka_volterra_ctmcGenerator matrix for Lotka-Volterra continuous-time Markov...
log_geometric_anneal_funcFunctional for log geometric annealing schedule.
log_lhood_lotka_volterra_ctmcLog-likelihood for Lotka-Volterra continuous-time Markov...
log_lhood_lotka_volterra_lnaLog-likelihood for Lotka-Volterra Linear Noise Approximation...
log_likelihood_anneal_funcFunctional for log likelihood annealing schedule.
log_likelihood_anneal_func_daGeneric interface to annealed log-likeihood functions with...
mh_da_step_bglrDelayed-acceptance MH for symmetric kernel.
mh_stepMH for symmetric kernel.
min_da_mh_costFind tuning parameter with minimum computation cost under...
min_mh_costFind tuning parameter with minimum computation cost under MH
mvn_jitterJitter particles object with MVN kernel.
names.particlesExtract names of elements in each particle.
num_particlesNumber of particles per component.
papplyApply function to all particles
particlesCreate particles object.
p_componentsParticle components.
p_dimGet the dimensions of the components of particles.
print.particlesPrint particles object.
p_shapeReshape components of particles to matrix.
replace_particlesReplace (subset of) old set of particles with (subset of)...
resample_multinomialGeneric multinomial resample
resample_stratifiedGeneric stratified resample
robust_mean_covRobust covariance and correlation estimation from matrix
run_smc_daRun SMC sampler with DA (or possibly not DA methods)
select_reweight_particlesSelect new set of particles from old, reweight.
simulate_ctmcSimulate continuous-time Markov chain
simulate_lotka_volterra_ctmcSimulate continuous-time Markov chain of Lotka-Volterra model
smcdar'smcdar': A package for delayed-acceptance SMC.
time_steps_to_min_quantile_dist_bootstrapCalculate number of MH steps required until threshold is met.
time_steps_to_min_quantile_dist_empCalculate number of MH steps required until threshold is met.
time_steps_to_min_quantile_dist_gammaCalculate number of MH steps required until threshold is met.
time_steps_to_min_quantile_dist_medianCalculate number of MH steps required until threshold is met.
time_steps_to_min_quantile_dist_normalCalculate number of MH steps required until threshold is met.
weights.particlesGet particle weights
weights-setSet weights
weights-set-.particlesSet particle weights
bonStats/smcdar documentation built on Dec. 19, 2021, 10:47 a.m.