Man pages for maxbiostat/BinaryMarkovChains
Utilities for Two-State Discrete-Time Markov Chains
| binary_corr_matrix | Correlation matrix for binary variables. |
| binary_cov_matrix | Covariance matrix for binary variables |
| binary_multiESS | Multivariate ESS for binary variables |
| bin_corr | Correlation between binary variables#' |
| bin_cov | Covariance between binary variables. |
| compute_Gsquared | Compute the likelihood ratio statistic comparing a... |
| compute_Hsquared | Compute the likelihood ratio statistic comparing a stationary... |
| compute_order_BF | Compute the Bayes factor comparing a second-order Markov... |
| compute_stationarity_BF | Compute the Bayes factor testing stationarity of a Markov... |
| estimate_alpha | Estimate the |
| find_k | Thin a sample until the first-order Markov model is... |
| form_Y | Vector of state-transitions. |
| get_a | The a parameter in the state-change Markov chain. |
| get_alpha_map | Maximum _a posteriori_ estimate of the alpha transition... |
| get_b | The b parameter in the state-change Markov chain. |
| get_beta | Compute transition probability beta from alpha and p |
| get_contingency_array | Compute transitions of a given order |
| get_max_alpha | Maximum alpha for a given marginal equilibrium probability p. |
| get_maxK | Maximum number of transitions given occupation time, total... |
| joint_p | Joint probability between two indicators |
| max_transitions_pmf | Probability mass function for the maximum number of... |
| MC_autocorr | Autocorrelation function for a two-state Markov chain. |
| MC_neff | Estimate of the effective sample for two-state Markov chains. |
| MC_neff_stable | Estimate of the "stable" effective sample for two-state... |
| MC_neff_theoretical | Compute the theoretical effective sample size in two-state... |
| MC_neff_theoretical_stable | Compute the "stable" theoretical effective sample size in... |
| norm_matrix | Row-normalise a matrix with non-negative entries |
| occupation_time_pmf | Probability mass function for the occupation time. |
| recurrence_time_pmf | Probability mass function of the recurrence time. |
| scaled_alpha | Scaled alpha estimate. |
| scaled_average_transitions | Scaled average state changes. |
| split_counts | Return the frequencies of each state in each window. |
| split_phat | Split (windowed) sucess probability |
| split_switching_ratio | Split-Scaled number of state changes |
| switching_ratio | Scaled number of state changes |
