Man pages for jpkrooney/rcorex
An Implementation of Total Correlation Explanation
| biocorex | Fit biocorex to a dataset |
| calculate_latent | calculate latent |
| calculate_marginals_on_samples | Calculate marginals on data |
| calculate_mis | calculate mis |
| calculate_p_xi_given_y | calculate_p_xi_given_y |
| calculate_p_y | calculate_p_y |
| calculate_theta | calculate_theta |
| calculate_theta_epi | calculate_theta_epi |
| check_converged | check_converged |
| choose_maximal_run | choose_maximal_run |
| epicorex | Fit epicorex to a dataset |
| estimate_parameters_bernoulli | estimate_parameters_bernoulli |
| estimate_parameters_discrete | estimate_parameters_discrete |
| estimate_parameters_gaussian | estimate_parameters_gaussian |
| estimate_se | estimate_se |
| estimate_sig | estimate_sig |
| get_dimvisible | Get dim_visible from supplied data |
| get_dimvisible_byvar | get_dimvisible_byvar from supplied data |
| initialise_parameters | initialise_parameters |
| linearcorex | Fit linearcorex to a dataset |
| make_corex_tidygraph | Make a tidygraph object from an rcorex object or objects |
| marginal_p_bernoulli | Marginal Probabilities for binary data |
| marginal_p_discrete | Marginal Probabilities for discrete data |
| marginal_p_gaussian | Marginal Probabilities for Gaussian distributed data |
| mi_bootstrap | mi_bootstrap |
| normalise_latent | normalise_latent |
| pipe | Pipe operator |
| plot.rcorex | Plot TC vs number of iterations for an rcorex object |
| print.summary.rcorex | Print a summary.rcorex object |
| rcorex-package | An Implementation of Total Correlation Explanation |
| reorder_theta | reorder_theta |
| reorder_theta_epi | reorder_theta_epi |
| sort_results | sort_results |
| summary.rcorex | Summarise an rcorex object |
| unique_info | unique_info |
| update_alpha | update_alpha |
| update_tc | Internal function to calculate marginal probility of latent... |
