kindling - Higher-Level Interface of 'torch' Package to Auto-Train Neural Networks
Provides a higher-level interface to the 'torch' package for defining, training, and fine-tuning neural networks through code generation. The package supports several architectures, including feedforward (multi-layer perceptron) and recurrent neural networks (RNN, LSTM, GRU), while reducing boilerplate 'torch' code. Model training methods also bridge to machine learning frameworks in R, particularly the 'tidymodels' ecosystem, including 'parsnip' model specifications, 'workflows', 'recipes', and tuning tools.
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neural-networkstidymodelstorch
7.36 score 27 stars 8 scripts 381 downloads
statim - A Declarative Interface for Statistical Inference
A declarative interface for statistical inference built on the S7 object system. The layouts of the statistical inference are described using expressive variable mappers, null hypotheses are stated as mathematical expressions over population parameters, and estimation is deferred until explicitly requested. Supports estimation method involving hypothesis testing and model-based inference with an extensible variant system for registering custom estimation methods.
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inferential-statisticss7statisticstidy
5.69 score 5 stars 11 scripts 241 downloads
tabstats - A Lightweight Toolkit for Displaying Customizable Tables
A lightweight toolkit that provides functions for printing tables from input data in the R console or terminal with customizable formatting. Supported outputs include American Psychological Association (APA)-style tables (American Psychological Association, 2020, ISBN:9781433832178), correlation matrices, contingency tables, and two-column summary tables.
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5.65 score 5 stars 1 dependents 4 scripts 290 downloads