Clustering and Inference Procedures for High-Dimensional Latent Variable Models


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Documentation for package ‘GFORCE’ version 0.1.4

Help Pages

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 clustering.
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.