Man pages for GFORCE
Clustering and Inference Procedures for High-Dimensional Latent Variable Models
| gforce.certify | FORCE optimality certificate. |
| gforce.certify_adapt | FORCE optimality certificate (K is unknown). |
| gforce.clust2mat | Convert a clustering or grouping to partnership matrix. |
| gforce.confint2test | Convert confidence intervals to equivalent test statistics. |
| gforce.defaults | FORCE default tuning parameters. |
| gforce.FDR_control | FDR Control Procedure. |
| gforce.FORCE | FORCE K-means solver. |
| gforce.FORCE_adapt | FORCE K-means solver. |
| gforce.Gamma | Estimates Gamma for the PECOK SDP. |
| gforce.generator | Data generator. |
| gforce.glatent_confints | Confidence Intervals for Estimation in G-Latent Models. |
| gforce.glatent_confints.cv_defaults | Default Cross Validation Options for Confidence Intervals. |
| gforce.hclust | Hierarchical Clustering with Estimation of K. |
| gforce.hclust.agg2clust | Hierarchical Clustering - Convert Agglomeration to... |
| gforce.hclust.agglomerate | Hierarchical Clustering Agglomeration. |
| gforce.kmeans | K-means Clustering. |
| gforce.kmeans_SDP_matrix | K-means SDP Matrices. |
| gforce.metrics | Evaluates the correctness of a clustering solution. |
| gforce.PECOK | Solve PECOK with FORCE. |
| gforce.PECOK_adapt | Solve PECOK Adaptive SDP with FORCE. |
| gforce.scio | SCIO Estimator. |
