| $.psychnet | Back-compatible field access for a psychnet object |
| as.data.frame.psychnet | Tidy edge list for a psychnet network |
| as.data.frame.psychnet_bootstrap | Tidy a network bootstrap |
| as.data.frame.psychnet_group | Per-group psychometric networks |
| as.data.frame.psychnet_multilevel | Within / between event-data networks |
| as.data.frame.psychnet_result_group | Per-group framework results |
| casedrop_reliability | Edge-weight stability coefficient (case-dropping subset bootstrap) |
| certificate | Correctness certificate of a fitted network |
| condition | Condition a moderated network at a moderator value |
| cor_auto | Automatic correlation matrix (polychoric / polyserial / Pearson) |
| cor_network | Correlation network |
| dichotomize | Dichotomize numeric columns to 0/1 |
| difference_test | Bootstrapped difference test for edges or centralities |
| ebic_glasso | EBIC-regularized Gaussian graphical model (graphical lasso) |
| event_frequencies | Action frequencies from an event log |
| ggm_modselect | Stepwise Gaussian graphical model selection (ggmModSelect) |
| ggm_support_kkt | Constrained Gaussian-MRF (graph-restricted MLE) stationarity residual |
| glasso_kkt | Graphical-lasso stationarity (KKT) residual |
| glm_lasso_kkt | Stationarity (KKT) residual of an L1-penalized GLM fit |
| huge_network | Nonparanormal graphical model (huge) |
| ising_fit | Ising network for binary data |
| ising_sampler | Unregularized Ising network for binary data |
| lmg_certificate | Relative-importance (LMG / Shapley) certificate |
| logo_network | Local-Global sparse inverse covariance (LoGo) |
| mgm_fit | Mixed graphical model |
| network_reliability | Split-half reliability of the network edge structure |
| net_aggregate | Aggregate a network's communities into super-nodes |
| net_boot | Bootstrap a psychometric network |
| net_bridge | Bridge centrality |
| net_centralities | Node centrality |
| net_clustering | Weighted clustering coefficients |
| net_compare | Network Comparison Test |
| net_crosswalk | Argument crosswalk: psychnet as a substitute for qgraph / IsingFit / mgm |
| net_edge_betweenness | Edge betweenness centrality |
| net_predict | Node predictability |
| net_smallworld | Small-world index |
| net_stability | Centrality-stability coefficient (case-dropping subset bootstrap) |
| node_predictability | Node predictability as a plotting vector |
| pcor_network | Partial correlation network |
| plot.psychnet | Plot a psychnet network |
| plot.psychnet_bootstrap | Plot a network bootstrap |
| plot.psychnet_bridge | Plot bridge centrality |
| plot.psychnet_casedrop | Plot edge-weight case-dropping stability |
| plot.psychnet_centrality | Plot node centralities |
| plot.psychnet_difference | Plot a bootstrapped difference test |
| plot.psychnet_nct | Plot a Network Comparison Test |
| plot.psychnet_reliability | Plot split-half reliability |
| plot.psychnet_stability | Plot centrality stability (case-dropping) |
| print.psychnet | Print a psychnet network |
| print.psychnet_bootstrap | Print a network bootstrap |
| print.psychnet_casedrop | Print an edge-weight stability result |
| print.psychnet_group | Per-group psychometric networks |
| print.psychnet_moderated | Print a moderated MGM fit |
| print.psychnet_multilevel | Within / between event-data networks |
| print.psychnet_nct | Print a Network Comparison Test |
| print.psychnet_redundancy | Print a redundancy result |
| print.psychnet_reliability | Print a split-half reliability result |
| print.psychnet_result_group | Per-group framework results |
| print.psychnet_stability | Print a centrality-stability result |
| psychnet | Estimate a psychometric network |
| psychnet_group | Per-group psychometric networks |
| redundancy | Detect redundant node pairs ("goldbricker") |
| relimp_network | Relative-importance network (LMG / Shapley) |
| SRL | Self-regulated-learning (MSLQ) construct scores simulated by large language models |
| SRL_Claude | Self-regulated-learning (MSLQ) construct scores simulated by large language models |
| SRL_Gemini | Self-regulated-learning (MSLQ) construct scores simulated by large language models |
| SRL_GPT | Self-regulated-learning (MSLQ) construct scores simulated by large language models |
| SRL_LLaMa | Self-regulated-learning (MSLQ) construct scores simulated by large language models |
| SRL_Mistral | Self-regulated-learning (MSLQ) construct scores simulated by large language models |
| summary.psychnet | Summarize a psychnet network |
| summary.psychnet_group | Per-group psychometric networks |
| tmfg_certificate | Structural certificate for a TMFG network |
| tmfg_network | Triangulated Maximally Filtered Graph (TMFG) |