Man pages for rchan26/hierarchicalFusion
Divide-and-Conquer Monte Carlo Fusion
| abs_eigenvals | Absolute eigenvalues of a matrix |
| acceptance_rate_plots | Acceptance rate comparison between results |
| bal_binary_fusion_biGaussian | (Balanced Binary) D&C Monte Carlo Fusion (rejection sampling) |
| bal_binary_fusion_exp_4 | (Balanced Binary) D&C Monte Carlo Fusion (rejection sampling) |
| bal_binary_fusion_mixG | (Balanced Binary) D&C Monte Carlo Fusion (rejection sampling) |
| bal_binary_fusion_multiGaussian | (Balanced Binary) D&C Monte Carlo Fusion (rejection sampling) |
| bal_binary_fusion_SMC_biGaussian | (Balanced Binary) D&C Monte Carlo Fusion using SMC |
| bal_binary_fusion_SMC_BLR | (Balanced Binary) D&C Monte Carlo Fusion using SMC |
| bal_binary_fusion_SMC_BNBR | (Balanced Binary) D&C Monte Carlo Fusion using SMC |
| bal_binary_fusion_SMC_BRR | (Balanced Binary) D&C Monte Carlo Fusion using SMC |
| bal_binary_fusion_SMC_exp_4 | (Balanced Binary) D&C Monte Carlo Fusion using SMC |
| bal_binary_fusion_SMC_mixG | (Balanced Binary) D&C Monte Carlo Fusion using SMC |
| bal_binary_fusion_SMC_multiGaussian | (Balanced Binary) D&C Monte Carlo Fusion using SMC |
| bal_binary_fusion_SMC_uniGaussian | (Balanced Binary) D&C Monte Carlo Fusion using SMC |
| bal_binary_fusion_uniGaussian | (Balanced Binary) D&C Monte Carlo Fusion (rejection sampling) |
| bal_binary_GBF_BLR | (Balanced Binary) D&C Generalised Bayesian Fusion using SMC |
| bal_binary_GBF_BNBR | (Balanced Binary) D&C Generalised Bayesian Fusion using SMC |
| bal_binary_GBF_BRR | (Balanced Binary) D&C Generalised Bayesian Fusion using SMC |
| bal_binary_GBF_multiGaussian | (Balanced Binary) D&C Generalised Bayesian Fusion using SMC |
| base_rejection_sampler_exp_4 | Rejection sampler for base level |
| base_rejection_sampler_mixG | Rejection sampler for base level |
| calculate_proposal_cov | Calculate the proposal covariance matrix |
| create_particle | Create a particle object |
| dnorm_mix | Density of a mixture Gaussian |
| dnorm_mix_tempered | Density of tempered mixture Gaussian |
| dnorm_tempered | Tempered Gaussian Distribution |
| ea_biGaussian_DL_PT | Diffusion probability for the Exact Algorithm for Langevin... |
| ea_BLR_DL_PT | Diffusion probability for the Exact Algorithm for Langevin... |
| ea_BNBR_DL_PT | Diffusion probability for the Exact Algorithm for Langevin... |
| ea_BRR_DL_PT | Diffusion probability for the Exact Algorithm for Langevin... |
| ea_exp_4_DL | Exact Algorithm for Langevin diffusion with pi =... |
| ea_exp_4_DL_PT | Diffusion probability for the Exact Algorithm for Langevin... |
| ea_mixG_DL_PT | Exact Algorithm for Langevin diffusion with pi as a tempered... |
| ea_multiGaussian_DL_PT | Diffusion probability for the Exact Algorithm for Langevin... |
| ea_phi_biGaussian_DL | phi-function for bivariate tempered Gaussian distribution |
| ea_phi_biGaussian_DL_bounds | Obtain bounds for phi function |
| ea_phi_biGaussian_DL_LB | Obtain the global lower bound for phi function |
| ea_phi_exp_4_DL | phi-function for exp(-(((x-mean)^4)*beta)/2) |
| ea_phi_exp_4_DL_bounds | Obtain bounds for phi function |
| ea_phi_exp_4_DL_LB | Obtain the global lower bound for phi function |
| ea_phi_mixG_DL | phi-function for a tempered mixture Gaussian |
| ea_phi_mixG_DL_bounds | Obtain bounds for phi function |
| ea_phi_mixG_DL_LB | Obtain the global lower bound for phi function |
| ea_phi_multiGaussian_DL | phi-function for multivariate tempered Gaussian distribution |
| ea_phi_multiGaussian_DL_bounds | Obtain bounds for phi function |
| ea_phi_multiGaussian_DL_LB | Obtain the global lower bound for phi function |
| ea_phi_uniGaussian_DL | phi-function for tempered Gaussian distribution |
| ea_phi_uniGaussian_DL_bounds | Obtain bounds for phi function |
| ea_phi_uniGaussian_DL_LB | Obtain the global lower bound for phi function |
| ea_uniGaussian_DL | Exact Algorithm for Langevin diffusion for tempered Gaussian... |
| ea_uniGaussian_DL_PT | Diffusion probability for the Exact Algorithm for Langevin... |
| exp_4_density | Tempered target density exp(-(((x-mean)^4)*beta)/2) |
| fusion_biGaussian | Generalised Monte Carlo Fusion (rejection sampling) [on a... |
| fusion_exp_4 | Generalised Monte Carlo Fusion (rejection sampling) [on a... |
| fusion_mixG | Generalised Monte Carlo Fusion (rejection sampling) [on a... |
| fusion_multiGaussian | Generalised Monte Carlo Fusion (rejection sampling) [on a... |
| fusion_uniGaussian | Generalised Monte Carlo Fusion (rejection sampling) [on a... |
| hierarchicalFusion-package | A short title line describing what the package does |
| initialise_particle_sets | Initialise particle sets from a list of samples |
| inverse_sum_matrices | Calculate the inverse of a sum of matrices |
| log_rho_multivariate | Calculate the logarithm of rho (multivariate) |
| log_rho_univariate | Calculate the logarithm of rho (univariate) |
| logsumexp | Calculate the logarithm of the sum of the exponentials of the... |
| maximal_distance_hypercube_to_cv | Maximal distance to hypercube |
| mvrnormArma | Simulate from a Multivariate Gaussian Distribution |
| mvrnormArma_tempered | Simulate from a tempered Multivariate Gaussian Distribution |
| obtain_hypercube_vertices | Hypercube vertices |
| parallel_fusion_biGaussian | Generalised Monte Carlo Fusion (rejection sampling)... |
| parallel_fusion_exp_4 | Generalised Monte Carlo Fusion (rejection sampling)... |
| parallel_fusion_mixG | Generalised Monte Carlo Fusion (rejection sampling)... |
| parallel_fusion_multiGaussian | Generalised Monte Carlo Fusion (rejection sampling)... |
| parallel_fusion_SMC_biGaussian | Generalised Monte Carlo Fusion [parallel] |
| parallel_fusion_SMC_BLR | Generalised Monte Carlo Fusion [parallel] |
| parallel_fusion_SMC_BNBR | Generalised Monte Carlo Fusion [parallel] |
| parallel_fusion_SMC_BRR | Generalised Monte Carlo Fusion [parallel] |
| parallel_fusion_SMC_exp_4 | Generalised Monte Carlo Fusion [parallel] |
| parallel_fusion_SMC_mixG | Generalised Monte Carlo Fusion [parallel] |
| parallel_fusion_SMC_multiGaussian | Generalised Monte Carlo Fusion [parallel] |
| parallel_fusion_SMC_uniGaussian | Generalised Monte Carlo Fusion [parallel] |
| parallel_fusion_uniGaussian | Generalised Monte Carlo Fusion (rejection sampling)... |
| parallel_GBF_biGaussian | Generalised Bayesian Fusion [parallel] |
| parallel_GBF_BLR | Generalised Bayesian Fusion [parallel] |
| parallel_GBF_BNBR | Generalised Bayesian Fusion [parallel] |
| parallel_GBF_BRR | Generalised Bayesian Fusion [parallel] |
| parallel_GBF_multiGaussian | Generalised Bayesian Fusion [parallel] |
| parallel_GBF_uniGaussian | Generalised Bayesian Fusion [parallel] |
| particle_ESS | Calculate the ESS |
| progressive_fusion_biGaussian | (Progressive) D&C Monte Carlo Fusion (rejection sampling) |
| progressive_fusion_exp_4 | (Progressive) D&C Monte Carlo Fusion (rejection sampling) |
| progressive_fusion_mixG | (Progressive) D&C Monte Carlo Fusion (rejection sampling) |
| progressive_fusion_multiGaussian | (Progressive) D&C Monte Carlo Fusion (rejection sampling) |
| progressive_fusion_SMC_biGaussian | (Progressive) D&C Monte Carlo Fusion using SMC |
| progressive_fusion_SMC_exp_4 | (Progressive) D&C Monte Carlo Fusion using SMC |
| progressive_fusion_SMC_mixG | (Progressive) D&C Monte Carlo Fusion using SMC |
| progressive_fusion_SMC_multiGaussian | (Progressive) D&C Monte Carlo Fusion using SMC |
| progressive_fusion_SMC_uniGaussian | (Progressive) D&C Monte Carlo Fusion using SMC |
| progressive_fusion_uniGaussian | (Progressive) D&C Monte Carlo Fusion (rejection sampling) |
| progressive_GBF_multiGaussian | (Progressive) D&C Generalised Bayesian Fusion using SMC |
| Q_IS_biGaussian | Q Importance Sampling Step |
| Q_IS_BLR | Q Importance Sampling Step |
| Q_IS_BNBR | Q Importance Sampling Step |
| Q_IS_BRR | Q Importance Sampling Step |
| Q_IS_exp_4 | Q Importance Sampling Step |
| Q_IS_mixG | Q Importance Sampling Step |
| Q_IS_multiGaussian | Q Importance Sampling Step |
| Q_IS_uniGaussian | Q Importance Sampling Step |
| rcpp_hello_world | Simple function using Rcpp |
| resample_indices | Resampling methods |
| resample_particle_x_samples | Resampling a particle set for x |
| resample_particle_y_samples | Resampling a particle set for y |
| rho_IS_multivariate | rho Importance Sampling Step (multivariate) |
| rho_IS_univariate | rho Importance Sampling Step (univariate) |
| rho_j_biGaussian | rho_j Importance Sampling Step |
| rho_j_BLR | rho_j Importance Sampling Step |
| rho_j_BNBR | rho_j Importance Sampling Step |
| rho_j_BRR | rho_j Importance Sampling Step |
| rho_j_multiGaussian | rho_j Importance Sampling Step |
| rho_j_uniGaussian | rho_j Importance Sampling Step |
| rmix_norm | Simulate exactly a mixture Gaussian distribution |
| rmix_norm_tempered_rejection_sampler | Rejection sampler for tempered mixture Gaussian |
| rnorm_tempered | Tempered Gaussian Distribution Sampler |
| row_wise_subtraction | Row-wise subtraction of a vector to rows of a matrix |
| sample_exp_4 | Rejection sampler for tempered target... |
| scaled_distance | Scaled distance between two vectors |
| spectral_radius | Spectral radius of a symmetric matrix |
| weighted_mean_multivariate | Calculate the weighted mean (multivariate) |
| weighted_mean_univariate | Calculate the weighted mean (univariate) |
| weighted_trajectory_variation_multivariate | Calculate approximation to expectation of nu_j (multivariate) |
| weighted_trajectory_variation_univariate | Calculate approximation to expectation of nu_j (univariate) |
| weighted_variance_multivariate | Calculate the variance of vectors (multivariate) |
| weighted_variance_univariate | Calculate the variance of numbers (univariate) |
