R_THEME
Multiblock exploratory modeler
A software framework for exploring and predicting relationships in multiblock datasets using a combination of statistical modeling and machine learning techniques.
THEmatic Model Exploration is a both exploratory and predictive multiblock-multiequation-technique.
1 stars
0 watching
1 forks
Language: R
last commit: almost 3 years agoLinked from 1 awesome list
mikelove/awesome-multi-omicsRelated projects:
| Repository | Description | Stars |
|---|---|---|
 modeloriented/modelstudio | A tool for creating interactive, model-agnostic explanations of machine learning models in R | 328 |
 marcelrobeer/explabox | An exploratory tool for analyzing and understanding machine learning models | 14 |
 rmarko/explainprediction | An R package for explaining the predictions made by machine learning models in data science applications. | 2 |
| modeloriented/ibreakdown | A tool for explaining predictions from machine learning models by attributing them to specific input variables and their interactions. | 82 |
 boxuancui/dataexplorer | Automates data exploration and treatment tasks in R | 514 |
 mi2datalab/pybreakdown | A Python implementation of a method to explain the predictions of machine learning models | 42 |
 theme-ontology/theming | Develops a literary thematic knowledgebase to support computational analyses in fiction studies | 20 |
 model-r/modler | An ecological niche modeling workflow tool | 51 |
 pennisetum/jaca | An R package that provides a statistical framework for analyzing multi-view data | 3 |
 mrke/nichemapr | An R implementation of biophysical modelling tools for species survival and ecology | 66 |
 rrrlw/icon | Provides access to complex systems datasets from the Index of Complex Networks (ICON) database. | 7 |
 philipmostert/pointedsdms | Tools for building and evaluating integrated species distribution models from disparate datasets | 25 |
 pbs-assess/sdmtmb | An R package for fitting spatial and spatiotemporal GLMMs using TMB | 190 |
| modeloriented/drwhy | A collection of tools and guidelines for building responsible machine learning models | 682 |
 nrel/resstock | Develops detailed models of residential building characteristics and simulates energy performance | 112 |