Package index • pgdcm

All functions

AdjMatrix2CytoNodes(): Push Adjacency Matrix to Cytoscape
AdjMatrix2iGraph(): Convert Adjacency Matrix directly to igraph
LayoutChange(): Change Layout
QMatrix2CytoNodes(): Push Q-Matrix to Cytoscape
QMatrix2iGraph(): Convert Q-Matrix directly to igraph
Tasks2CytoNodes(): Push Standalone Task Nodes to Cytoscape
assess_classification_accuracy(): Assess Classification Accuracy
build_from_adjacency(): Build Graph from an Adjacency Matrix
build_from_node_edge_files(): Build Graph from Node and Edge Files
build_from_q_matrix(): Build Graph from a Q-Matrix
build_irt_graph(): Build Graph for an IRT Model
build_model_config(): Build Model Configuration
build_scoring_config(): Build Model Configuration for Scoring
calc_item_discrimination_index(): Get Item Discrimination Index (Probability Gap)
calc_item_guessing_prob(): Get Item Guessing (False Positive) Probability
calc_item_slip_prob(): Get Item Slip (False Negative) Probability
calc_item_true_positive_prob(): Get Item True Mastery Probability
calc_prob_master_given_no_prereqs(): Get Prerequisite "Leap" Probability
calc_prob_master_given_prereqs(): Get Curriculum Bottleneck Probability
calc_risk_difference(): Get Prerequisite Gate Strength (Risk Difference)
check_mcmc_convergence(): Check MCMC Convergence
checklegaledges(): Check Legal Edges
compute_M2(): Compute Second-Order Moment Matrix
configure_dcm(): Configure DCM Initialization and Constants
configure_sem(): Configure SEM Initialization and Constants
create_edge_df(): Create a Standardized Edge DataFrame
create_node_df(): Create a Standardized Node DataFrame
determine_model_type(): Determine Model Type
edgeadd(): Add Edge
edgedelete(): Delete Edge
enforce_topo_sort(): Enforce Topological Sort on Attributes
filter_structural_nas(): Filter Structural NAs from MCMC Samples
generate_item_diagnostics(): Generate Item Diagnostics Table
generate_ppc_plots(): Generate Posterior/Prior Predictive Plots
generate_skill_diagnostics(): Generate Skill Diagnostics Table
generate_summary_tables(): Generate Specific Summary Tables
get_Cyto_template(): Get Cytoscape Template
get_EdgesTable(): Extract Edges Table from Graph
get_NodesTable(): Extract Nodes Table from Graph
get_graph_info(): Extract Graph Information
groupattributepatterns(): Group Participants by Attribute Mastery Patterns
igraphedit(): Run Interactive Graph Editor
map_pgdcm_parameters(): Map PGDCM Parameters to Readble Names
pull_from_cytoscape(): Pull Graph from Cytoscape
push_to_cytoscape(): Push Graph to Cytoscape
readigraph(): Read Igraph from Files
resolve_item(): Resolve Human-Readable Item Name to Integer Index safely via Mapped Parameters
resolve_skill(): Resolve Human-Readable Skill Name to Integer Index safely via Mapped Parameters
run_pgdcm_auto(): Run Integrated Workflow (Prior, MCMC, Posterior)
run_predictive_check(): Run Predictive Check (Prior or Posterior)
validate_discrete_assumption(): Validate Discrete Binary Assumption
validate_graph_and_data(): Validate Graph against Dataset
validate_graph_compute_nodes(): Validate Graph Compute Nodes
viewparentsandchildren(): View Parents and Children
writeigraph(): Write Igraph to Files