Alternatives and similar repositories for generalizedPCA

Users that are interested in generalizedPCA are comparing it to the libraries listed below

• kcf-jackson / maniTools
  R package: Manifold learning in R
  ☆13Updated 5 years ago
• johnmyleswhite / bayesian_nonparametrics
  Slides and code for Bayesian nonparametrics in R and Julia
  ☆55Updated 10 years ago
• ledell / cvAUC
  Computationally efficient confidence intervals for cross-validated AUC estimates in R
  ☆23Updated 3 years ago
• david-cortes / MatrixExtra
  (R) Efficient methods and operators for the sparse matrix classes in 'Matrix' (esp. CSR format or "RsparseMatrix")
  ☆23Updated last year
• mlampros / KernelKnn
  Kernel k Nearest Neighbors in R
  ☆17Updated 2 years ago
• eddelbuettel / rcppgsl
  Rcpp integration for GNU GSL vectors and matrices
  ☆33Updated 2 months ago
• markajoc / condvis
  Visualisation for statistical models.
  ☆20Updated 6 years ago
• jefferis / nabor
  R package wrapping libnabo: fast K Nearest Neighbor search for low dimensions
  ☆21Updated 4 years ago
• wrathematics / coop
  Fast covariance, correlation, and cosine similarity.
  ☆35Updated 3 years ago
• vdorie / blme
  Bayesian Linear Mixed Effect Models
  ☆44Updated 5 months ago
• nanxstats / msaenet
  🧲 Multi-step adaptive estimation for reducing false positive selection in sparse regressions
  ☆13Updated last year
• privefl / bigsparser
  Sparse matrix format with data on disk
  ☆10Updated 11 months ago
• TaddyLab / maptpx
  map estimation of topic models
  ☆19Updated 5 years ago
• RoheLab / vsp
  Vintage Sparse PCA for Semi-Parametric Network Analysis
  ☆26Updated last week
• tpq / peakRAM
  [EXPERIMENTAL] An R package to monitor the peak RAM used by R expressions and functions
  ☆20Updated 3 years ago
• koheiw / proxyC
  R package for large-scale similarity/distance computation
  ☆28Updated this week
• goldingn / gpflowr
  Gaussian processes in TensorFlow via R
  ☆16Updated 7 years ago
• fsavje / scclust-R
  Size-constrained Clustering in R
  ☆31Updated last year
• tdhock / WeightedROC
  Fast, weighted ROC curves
  ☆28Updated 2 years ago
• USCbiostats / xrnet
  R Package for Hierarchical Regularized Regression to Incorporate External Data
  ☆10Updated 11 months ago
• LauraBalzer / HierarchicalTMLE
  R code to generate simulated data and implement the hierarchical TMLEs described in "A new approach to hierarchical data analysis: Target…
  ☆9Updated 5 years ago
• wrathematics / RparallelGuide
  A guide to parallel R, including OpenMP. Kind of.
  ☆38Updated 10 years ago
• mike-lawrence / ezStan
  An R package containing helper functions for Stan
  ☆17Updated 3 years ago
• matloff / toweranNA
  Implementation of the Tower Method, a novel approach to handling missing values.
  ☆12Updated last year
• jaredhuling / oem
  Penalized least squares estimation using the Orthogonalizing EM (OEM) algorithm
  ☆27Updated last year
• gavinsimpson / permute
  Restricted permutations
  ☆24Updated last month
• harrelfe / rmsb
  Regression Modeling Strategies Bayesian
  ☆16Updated 3 months ago
• pdwaggoner / plotmm
  Tidy Tools for Visualizing Mixture Models
  ☆24Updated 7 months ago
• cran / glinternet
   This is a read-only mirror of the CRAN R package repository. glinternet — Learning Interactions via Hierarchical Group-Lasso Regulariza…
  ☆12Updated 3 years ago
• ggobi / ggobi
  High dimensional data vis
  ☆28Updated last year