Man pages for jeremyhengjm/GibbsFlow
Gibbs Flow for Approximate Transport
| banana_gibbsflow | Compute Gibbs flow for banana example |
| banana_gradloglikelihood | Evaluate gradient of banana example loglikelihood function |
| banana_gradlogprior | Evaluate gradient of banana example prior density |
| banana_loglikelihood | Evaluate banana example loglikelihood function |
| banana_logprior | Evaluate banana example prior density |
| banana_partialderivative_loglikelihood | Evaluate partial derivative of banana example likelihood... |
| banana_partialderivative_logprior | Evaluate partial derivative of banana example prior density |
| banana_sampleprior | Sample from banana example prior distribution |
| baseball_artificial_logprior | Evaluate variance components model artificial prior density... |
| baseball_gibbsflow | Compute Gibbs flow for variance components model on baseball... |
| baseball_gibbsvelocity | Compute Gibbs velocity for variance components model on... |
| baseball_gradloglikelihood | Evaluate gradient of variance components loglikelihood on... |
| baseball_gradlogprior | Evaluate gradient of variance components prior density on... |
| baseball_gradlogprior_artificial | Evaluate gradient of variance components artificial prior... |
| baseball_loglikelihood | Evaluate variance components model loglikelihood function on... |
| baseball_logprior | Evaluate variance components model prior density on baseball... |
| baseball_sample_artificial_prior | Sample from variance components model artificial prior... |
| construct_kernel | Constructs MCMC kernel |
| coxprocess_gibbsflow | Compute Gibbs flow for Cox process model |
| coxprocess_gibbsflow_ep_proposal | Compute Gibbs flow for Cox process model with EP Gaussian... |
| coxprocess_gibbsflow_vi_proposal | Compute Gibbs flow for Cox process model with VI Gaussian... |
| coxprocess_gibbsvelocity | Compute Gibbs velocity for Cox process model |
| coxprocess_gibbsvelocity_ep_proposal | Compute Gibbs velocity for Cox process model with EP Gaussian... |
| coxprocess_gibbsvelocity_vi_proposal | Compute Gibbs velocity for Cox process model with VI Gaussian... |
| coxprocess_gradlog_ep_proposal | Evaluate gradient of EP Gaussian proposal density |
| coxprocess_gradloglikelihood | Evaluate gradient of Cox process loglikelihood function |
| coxprocess_gradlogprior | Evaluate gradient of multivariate Gaussian prior density |
| coxprocess_gradlog_vi_proposal | Evaluate gradient of VI Gaussian proposal density |
| coxprocess_log_ep_proposal | Evaluate EP Gaussian proposal density |
| coxprocess_log_ep_proposal_conditional | Evaluate conditional density of EP Gaussian proposal |
| coxprocess_loglikelihood | Evaluate Cox process loglikelihood function |
| coxprocess_loglikelihood_term | Evaluate a particular term of Cox process loglikelihood... |
| coxprocess_logprior | Evaluate multivariate Gaussian prior density |
| coxprocess_logprior_conditional | Evaluate conditional density of multivariate Gaussian prior |
| coxprocess_log_vi_proposal | Evaluate VI Gaussian proposal density |
| coxprocess_partialderivative_log_ep_proposal | Evaluate partial derivative of EP Gaussian proposal density |
| coxprocess_partialderivative_loglikelihood | Evaluate partial derivative of Cox process likelihood... |
| coxprocess_partialderivative_logprior | Evaluate partial derivative of multivariate Gaussian prior... |
| coxprocess_partialderivative_log_vi_proposal | Evaluate partial derivative of VI Gaussian proposal density |
| coxprocess_sample_ep_proposal | Sample from EP Gaussian proposal distribution |
| coxprocess_sampleprior | Sample from multivariate Gaussian prior distribution |
| coxprocess_sample_vi_proposal | Sample from VI Gaussian proposal distribution |
| coxprocess_stein_variational_importance_sampling | Perform Stein variational importance sampling |
| gaussian_gibbsflow | Compute Gibbs flow for Gaussian model |
| gaussian_gibbsvelocity | Compute Gibbs velocity for Gaussian model |
| gaussian_gradloglikelihood | Evaluate gradient of multivariate Gaussian loglikelihood... |
| gaussian_gradlogprior | Evaluate gradient of multivariate Gaussian prior density |
| gaussian_loglikelihood | Evaluate multivariate Gaussian loglikelihood function |
| gaussian_log_normconst | Compute log normalizing constant of multivariate Gaussian... |
| gaussian_logposterior | Evaluate multivariate Gaussian posterior density |
| gaussian_logprior | Evaluate multivariate Gaussian prior density |
| gaussian_partialderivative_loglikelihood | Evaluate partial derivative of multivariate Gaussian... |
| gaussian_partialderivative_logprior | Evaluate partial derivative of multivariate Gaussian prior... |
| gaussian_posterior_cov | Compute posterior covariance of multivariate Gaussian example |
| gaussian_posterior_mean | Compute posterior mean of multivariate Gaussian example |
| gaussian_sampleprior | Sample from multivariate Gaussian prior distribution |
| gaussian_stein_variational_importance_sampling | Perform Stein variational importance sampling |
| get_hmc_kernel | Construct Hamiltonian Monte Carlo kernel |
| get_mala_kernel | Construct Metropolis adjusted Langevin algorithm kernel |
| get_rm_hmc_kernel | Construct Riemann manifold Hamiltonian Monte Carlo kernel for... |
| get_rwmh_kernel | Construct random walk Metropolis-Hastings kernel |
| GibbsFlow | GibbsFlow package |
| gradmvnpdf | Evaluate gradient of multivariate Gaussian prior density |
| mixtureexample_gibbsflow | Compute Gibbs flow for mixture example |
| mixtureexample_gibbsvelocity | Compute Gibbs flow for mixture example |
| mixtureexample_gradloglikelihood | Evaluate gradient of mixture example loglikelihood function |
| mixtureexample_gradlogprior | Evaluate gradient of mixture example prior density |
| mixtureexample_loglikelihood | Evaluate mixture example loglikelihood function |
| mixtureexample_log_normconst | Compute log normalizing constant of mixture example |
| mixtureexample_logposterior | Evaluate mixture example posterior density |
| mixtureexample_logprior | Evaluate mixture example prior density |
| mixtureexample_partialderivative_loglikelihood | Evaluate partial derivative of mixture example likelihood... |
| mixtureexample_partialderivative_logprior | Evaluate partial derivative of mixture example prior density |
| mixtureexample_posterior_cov | Compute posterior covariance of mixture example |
| mixtureexample_posterior_mean | Compute posterior mean of mixture example |
| mixtureexample_sampleprior | Sample from mixture example prior distribution |
| mixturemodel_gibbsflow | Compute Gibbs flow for mixture model |
| mixturemodel_gibbsvelocity | Compute Gibbs flow for mixture model |
| mixturemodel_gradloglikelihood | Evaluate gradient of mixture model loglikelihood function |
| mixturemodel_gradlogprior | Evaluate gradient of mixture model prior density |
| mixturemodel_loglikelihood | Evaluate mixture model loglikelihood function |
| mixturemodel_logprior | Evaluate mixture model prior density |
| mixturemodel_partialderivative_loglikelihood | Evaluate partial derivative of mixture model likelihood... |
| mixturemodel_partialderivative_logprior | Evaluate partial derivative of mixture model prior density |
| mixturemodel_sampleprior | Sample from mixture model prior distribution |
| mvn_cholesky_factor | Compute Cholesky factor |
| mvnpdf | Evaluate multivariate Gaussian density |
| mvnpdf_chol | Evaluate multivariate Gaussian density (with pre-computed... |
| mvnrnd | Simulate from multivariate Gaussian distribution |
| mvnrnd_chol | Simulate from multivariate Gaussian distribution (with... |
| rcpparma_hello_world | Set of functions in example RcppArmadillo package |
| run_ais | Run annealed importance sampler |
| run_gibbsflow_ais | Run Gibbs flow annealed importance sampler |
| run_gibbsflow_sis | Run Gibbs flow sequential importance sampler |
| run_gibbsflow_sisr | Run Gibbs flow importance sampler with resampling |
| run_gibbsflow_smc | Run Gibbs flow sequential Monte Carlo sampler |
| run_smc | Run sequential Monte Carlo sampler |
| systematic_resampling | Perform systematic resampling |
| varcomp_artificial_logprior | Evaluate variance components model artificial prior density... |
| varcomp_gibbsflow | Compute Gibbs flow for variance components model on simulated... |
| varcomp_gibbsvelocity | Compute Gibbs velocity for variance components model on... |
| varcomp_gradloglikelihood | Evaluate gradient of variance components loglikelihood on... |
| varcomp_gradlogprior | Evaluate gradient of variance components prior density on... |
| varcomp_gradlogprior_artificial | Evaluate gradient of variance components artificial prior... |
| varcomp_loglikelihood | Evaluate variance components model loglikelihood function on... |
| varcomp_logprior | Evaluate variance components model prior density on simulated... |
| varcomp_sample_artificial_prior | Sample from variance components model artificial prior... |
