R packages by till-tietz

CausalQueries - Make, Update, and Query Binary Causal Models

Users can declare causal models over binary nodes, update beliefs about causal types given data, and calculate arbitrary queries. Updating is implemented in 'stan'. See Humphreys and Jacobs, 2023, Integrated Inferences (<DOI: 10.1017/9781316718636>) and Pearl, 2009 Causality (<DOI:10.1017/CBO9780511803161>).

Last updated 2 days ago

bayescausaldagsmixedmethodsstan

8.77 score 24 stars 47 scripts 868 downloads

parsel - Parallel Dynamic Web-Scraping Using 'RSelenium'

A system to increase the efficiency of dynamic web-scraping with 'RSelenium' by leveraging parallel processing. You provide a function wrapper for your 'RSelenium' scraping routine with a set of inputs, and 'parsel' runs it in several browser instances. Chunked input processing as well as error catching and logging ensures seamless execution and minimal data loss, even when unforeseen 'RSelenium' errors occur. You can additionally build safe scraping functions with minimal coding by utilizing constructor functions that act as wrappers around 'RSelenium' methods.

Last updated 11 months ago

parallelrseleniumweb-scraping

3.85 score 14 stars 8 scripts 241 downloads

gsdmm - GSDMM Short Text Clustering via Dirichlet Mixture Models

This package implements a Dirichlet Mixture Model and accompanying Gibbs sampler for short text clustering proposed by Yin and Wang 2014.

Last updated 2 months ago

2.00 score