Statistical Inference for Unsupervised Learning

---

Documentation for package ‘jackstraw’ version 1.3.9

• DESCRIPTION file.
• Package NEWS.

Help Pages

jackstraw-package	jackstraw: Statistical Inference for Unsupervised Learning
find_k	Find a number of clusters or principal components
jackstraw	jackstraw: Statistical Inference for Unsupervised Learning
jackstraw_cluster	Jackstraw for the User-Defined Clustering Algorithm
jackstraw_irlba	Non-Parametric Jackstraw for Principal Component Analysis (PCA) using the augmented implicitly restarted Lanczos bidiagonalization algorithm (IRLBA)
jackstraw_kmeans	Non-Parametric Jackstraw for K-means Clustering
jackstraw_kmeanspp	Non-Parametric Jackstraw for K-means Clustering using RcppArmadillo
jackstraw_MiniBatchKmeans	Non-Parametric Jackstraw for Mini Batch K-means Clustering
jackstraw_pam	Non-Parametric Jackstraw for Partitioning Around Medoids (PAM)
jackstraw_pca	Non-Parametric Jackstraw for Principal Component Analysis (PCA)
jackstraw_rpca	Non-Parametric Jackstraw for Principal Component Analysis (PCA) using Randomized Singular Value Decomposition
jackstraw_subspace	Jackstraw for the User-Defined Dimension Reduction Methods
Jurkat293T	A Jurkat:293T equal mixture dataset from Zheng et al. (2017)
permutationPA	Permutation Parallel Analysis
pip	Compute posterior inclusion probabilities (PIPs)