ggfortify - Data Visualization Tools for Statistical Analysis Results

Unified plotting tools for statistics commonly used, such as GLM, time series, PCA families, clustering and survival analysis. The package offers a single plotting interface for these analysis results and plots in a unified style using 'ggplot2'.

Last updated 9 months ago

14.60 score 528 stars 24 dependents 9.1k scripts 35k downloads

lfda - Local Fisher Discriminant Analysis

Functions for performing and visualizing Local Fisher Discriminant Analysis(LFDA), Kernel Fisher Discriminant Analysis(KLFDA), and Semi-supervised Local Fisher Discriminant Analysis(SELF).

Last updated 2 years ago

dimensionality-reductiondistance-metric-learningmachine-learningmetric-learningstatistics

6.50 score 76 stars 3 dependents 74 scripts 1.2k downloads

scaffolder - Scaffolding Interfaces to Packages in Other Programming Languages

Comprehensive set of tools for scaffolding R interfaces to modules, classes, functions, and documentations written in other programming languages, such as 'Python'.

Last updated 2 years ago

code-generationpythonreticulatescaffolding

6.13 score 27 stars 9 scripts 117 downloads

autoplotly - Automatic Generation of Interactive Visualizations for Statistical Results

Functionalities to automatically generate interactive visualizations for statistical results supported by 'ggfortify', such as time series, PCA, clustering and survival analysis, with 'plotly.js' <https://plotly.com/> and 'ggplot2' style. The generated visualizations can also be easily extended using 'ggplot2' and 'plotly' syntax while staying interactive.

Last updated 2 years ago

data-visualizationggplot2interactive-visualizationsmachine-learningplotlyplotlyjsstatistics

6.01 score 88 stars 23 scripts 535 downloads

dml - Distance Metric Learning in R

State-of-the-art algorithms for distance metric learning, including global and local methods such as Relevant Component Analysis, Discriminative Component Analysis, Local Fisher Discriminant Analysis, etc. These distance metric learning methods are widely applied in feature extraction, dimensionality reduction, clustering, classification, information retrieval, and computer vision problems.

Last updated 2 years ago

dimensionality-reductiondistance-metric-learningmachine-learningmetric-learningstatistics

5.94 score 58 stars 1 dependents 8 scripts 187 downloads

onnx - R Interface to 'ONNX'

R Interface to 'ONNX' - Open Neural Network Exchange <https://onnx.ai/>. 'ONNX' provides an open source format for machine learning models. It defines an extensible computation graph model, as well as definitions of built-in operators and standard data types.

Last updated 2 years ago

deep-learningdeep-neural-networksonnx

5.90 score 44 stars 18 scripts 215 downloads

tfio - Interface to 'TensorFlow IO'

Interface to 'TensorFlow IO', Datasets and filesystem extensions maintained by `TensorFlow SIG-IO` <https://github.com/tensorflow/community/blob/master/sigs/io/CHARTER.md>.

Last updated 5 years ago

3.45 score 1 stars 57 scripts 142 downloads