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wordorientation - Detect Attraction and Repulsion Between Words in Text

Provides tools to quantify how strongly pairs of words attract or repel each other in a text corpus, based on co-occurrence patterns. For each word pair, the phi coefficient (a correlation measure for binary variables) is computed from a document-term matrix and tested for significance, then classified as showing attraction (co-occurring more than chance would predict), repulsion (co-occurring less than chance would predict), or no significant relationship. A full pipeline is provided from raw text to a labeled network visualization. Unlike general-purpose pairwise correlation tools, 'wordorientation' is built specifically for text: it handles tokenization and stopword removal, applies significance-based classification rather than reporting a raw correlation coefficient alone, and produces a ready-to-plot attraction/ repulsion network. Methods for word co-occurrence and the phi coefficient follow Evert (2008) <doi:10.1075/z.143.13eve> and standard corpus linguistics practice for collocation and association measures.

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3.00 score 2 scripts 237 downloads

ggdatalab - Datalab ggplot2 Theme and Scales

A ggplot2 extension providing a Datalab theme and colour scales.

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2.70 score

simIC - Simulate and Analyze Interval and Mixed-Censored Survival Data

Provides tools to simulate and analyze interval-censored survival data, including left-, right-, and uncensored cases, under common parametric distributions such as Weibull, Exponential, Log-Normal, Log-Logistic, Gamma, Gompertz, Normal, Logistic, and EMV. The package supports both direct maximum likelihood estimation and imputation-based approaches, making it suitable for methodological research, benchmarking, and teaching purposes. An interactive web-based companion tool is also available.

Last updated

2.70 score 135 downloads

cobbdouglasge - Edgeworth Box with Contract Curves

A Shiny app to visualize an Edgeworth box with contract curve for the 2x2 exchange model using Cobb-Douglas utility functions.

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2.18 score 3 stars 2 scripts

finRiskPractical - Teaching Scripts for Financial Risk Analytics Practicals

A collection of ten worked practical scripts covering R fundamentals, term structure modelling, market risk (VaR), credit risk (Markov chains), operational risk (frequency-severity models), volatility (GARCH), portfolio optimisation, Monte Carlo risk simulation, and a Shiny risk dashboard. Each Practical*() function prints the annotated R code for that topic so it can be copied, run, and studied interactively. This package intentionally ships the material as printable teaching code rather than as executed computations, so it has no hard dependency on the packages used inside the printed examples (minpack.lm, evd, rugarch, quadprog, shiny); install those separately if you want to run the printed code yourself.

Last updated

1.70 score 1 scripts

eppicenter.tools - An Amazing Shiny App

What the package does (one paragraph).

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1.00 score 1 stars