PLSCA_Framework
Data analysis tool
An R package implementing techniques for analyzing multivariate data relationships
Partial least squares correspondence analysis (PLS-CA) and Smoothed (regularized) PLS-CA
1 stars
3 watching
0 forks
Language: R
last commit: about 8 years ago Related projects:
| Repository | Description | Stars |
|---|---|---|
 irinagain/mixedcca | Software package implementing sparse canonical correlation analysis for mixed data types | 20 |
 rjt1990/pydata2016-sanfrancisco | An analysis of time series methods using PyFlux library and incorporating NFL prediction model. | 23 |
 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 |
 vibscc/dali | Tool for integrated analysis of single-cell RNAseq data and immune receptor profiling data | 20 |
 macroecology/letsr | A package for analyzing and handling macroecological data in R. | 28 |
 philipmostert/pointedsdms | Tools for building and evaluating integrated species distribution models from disparate datasets | 25 |
 ldo-cert/orochi | A framework for collaborative memory dump analysis using Volatility and distributed processing | 226 |
 pimentel/scca-bc | Analyzes data to identify linear relationships and groups them into clusters | 2 |
 matthiasplappert/keras-rl | A Python library implementing state-of-the-art deep reinforcement learning algorithms for Keras and OpenAI Gym environments. | 8 |
 mljs/pls | A JavaScript implementation of Partial Least Squares regression and related algorithms for exploratory data modeling | 10 |
 src-d/models | Provides pre-trained machine learning models for detecting and analyzing software development behavior | 19 |
 bachlab/pspm | A software suite for model-based analysis of psychophysiological signals | 45 |
 pachterlab/pcca | A software project that performs statistical analysis on biological data using Principal Component Correlation Analysis (PCCA) and related methods. | 18 |
 kengz/slm-lab | A comprehensive framework for deep reinforcement learning using PyTorch. | 1,256 |
 pmb59/fccac | A tool for analyzing covariance between sequencing datasets using Canonical Correlation Analysis | 0 |