Clustering and Inference Procedures for High-Dimensional Latent Variable Models

Documentation for package ‘GFORCE’ version 0.1.2

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.