sPLSPM

Data analysis library

Multiset sparse partial least squares path modeling for high dimensional data analysis using R

sPLSPM package

GitHub

1 stars
2 watching
0 forks
Language: R
last commit: over 3 years ago
Linked from 1 awesome list


Backlinks from these awesome lists:

Related projects:

Repository Description Stars
sparsemat/sprs A Rust library implementing sparse matrix data structures and linear algebra algorithms 400
derekbeaton/plsca_framework An R package implementing techniques for analyzing multivariate data relationships 1
andrewssobral/lrslibrary A collection of low-rank and sparse decomposition algorithms for computer vision and machine learning tasks 837
mbrbic/multi-view-lrssc An algorithm implementation for multi-view low-rank sparse subspace clustering using PCA on heterogeneous data views 54
schoppmp/linreg-mpc A protocol for secure distributed linear regression on vertically distributed datasets 32
philipmostert/pointedsdms Tools for building and evaluating integrated species distribution models from disparate datasets 24
kolaczyk/sand An R package providing tools and datasets for statistical analysis of network data, covering various aspects from basic manipulation to modeling and prediction. 294
blas-lapack-rs/accelerate-src Provides optimized linear algebra and numerical computing capabilities via the Accelerate framework 17
bachlab/pspm A software suite for model-based analysis of psychophysiological signals 43
accla/d4m A MATLAB-based library for representing unstructured data as triples in sparse matrices and manipulating it using standard linear algebraic operations. 41
ghollisjr/cl-ana A modular Common Lisp framework for data analysis and visualization 197
blas-lapack-rs/netlib-src Provides source code for linear algebra libraries built on top of Netlib 4
retraigo/la-classy A machine learning module for single layer perceptron models using Rust. 4
linghaosong/sextans An FPGA-based accelerator for accelerating sparse matrix dense matrix multiplication 71
pysal/pysal A comprehensive Python library for geospatial data science and analysis, providing tools for spatial statistics, graph construction, and exploratory data analysis. 1,331