| add_inactive_single_units | Add inactive (missing) single units |
| calculate_combination_size | Calculate combination size |
| define_contexts | Define truth for AUs active in different contexts |
| define_joint_prob | Joint probability distribution of AUs |
| distribution.plot | Plots the observed probability for an element against the distribution of the null model |
| element.plot | Plots the observed and expected probabilities for the basic elements based on the condition |
| element.specificity | Tests how much each element increases the specificity of all combinations it is in |
| emotions_set | Letter Data |
| entropy.overall | Compares the observed and expected information content of the dataset |
| equal_observations | Check that ALL objects have the same number of observations |
| event.size.plot | Plots the probability that a combination of a certain size appears |
| get_active_elements | Extract active elements from matrix |
| letternet | Letter Data |
| multiple.netfacs | (Deprecated) Applies the 'netfacs' function across multiple levels of the condition and puts them in a list |
| multiple.netfacs.network | Creates network objects out of the netfacs data |
| multiple.network.plot | Plots networks for multiple conditions |
| mutual.information | Calculates the pointwise mutual information of units with each other |
| mutual.information.condition | Tests how much each element increases the specificity of all combinations it is in |
| netfacs | Create probability distribution of combinations of elements in the data |
| netfacs.extract | (Deprecated) Extract results from a 'netfacs' object. |
| netfacs.network | Creates a network object out of the netfacs data |
| netfacs.reciprocity | Calculate reciprocity of probabilities that two elements appear together |
| netfacs_bootstrap | Calculate expected probability from single bootstrap |
| netfacs_extract | Extract results from a netfacs object |
| netfacs_multiple | Applies the 'netfacs' function across multiple levels of the condition and puts them in a list |
| netfacs_randomize | Calculate probabilities from single randomization |
| network.conditional | Produce conditional probabilities of dyads of elements, and graph object based on conditional probabilities |
| network.plot | Plots a network object |
| network.summary | Returns all kinds of network measures for the netfacs network |
| network.summary.graph | Returns all kinds of graph-level network measures for the netfacs network |
| overlap.network | Plots the overlap of multiple conditions as bipartite network |
| prepare.netfacs | Take data that are not currently in format and turn them into the correct format for netfacs function |
| print.netfacs | Print method for objects of class 'netfacs' |
| print.netfacs_multiple | Print method for objects of class 'netfacs_multiple' |
| probability_of_combination | Calculate probabilities of single elements and combinations occurring |
| probability_of_event_size | Count number of event sizes |
| sample_contexts | Sample observations of simulated FACS data |
| summarise_combination | Summarise combination results from bootstrap |
| summarise_event_size | Summarise event size probabilities |