MSFA
MSFA Estimator
A software package implementing Multi-Study Factor Analysis model estimation via both ECM and Bayesian approaches.
2 stars
2 watching
2 forks
Language: R
last commit: over 2 years ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
dppalomar/covfactormodel | A package for estimating covariance matrices using factor models in financial data analysis. | 33 |
exascaleinfolab/statix | An application for statistical type inference on RDF datasets in N3/N-Quads format | 6 |
emf-creaf/meteoland | Utilities to estimate daily weather variables at any position over complex terrains | 10 |
topepo/fes | Provides code and data sets to support the analysis of feature engineering and selection in predictive models | 726 |
shangtai/githubcausalsvm | An R implementation of a machine learning approach to estimate the effect of treatment on individuals | 5 |
esmvalgroup/esmvaltool | A community-developed tool for evaluating climate models and providing diagnostic metrics. | 230 |
jacopoantonello/mshwfs | A MATLAB toolbox for estimating wavefronts from Shack-Hartmann images using modal-based reconstruction | 52 |
mdesalvo/rdfsharp | A C# library for working with RDF data and querying it against various triple stores | 121 |
rmendels/rerddapxtracto | A package for accessing and extracting environmental data from remote ERDDAP servers. | 14 |
davideceolin/rcsvw | Provides algorithms and utilities for candidate recommendations in RDF data | 3 |
azvoleff/gfcanalysis | Tools and analyses for working with Hansen et al.'s Global Forest Change dataset | 17 |
eliocamp/metr | Tools for easier analysis of meteorological fields | 144 |
rstudio/tensorflow | A package that provides an interface to the TensorFlow machine learning framework from within R. | 1,329 |
eea-sensors/ekfukf | A toolbox for building state estimation algorithms using Kalman filters and smoothers. | 104 |
hunter-stanke/rfia | A suite of tools to analyze and query the US Forest Inventory and Analysis (FIA) Database using R. | 47 |