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Add "nuggets" and "lfl" into MachineLearning.md #48

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14 changes: 12 additions & 2 deletions MachineLearning.md
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Expand Up@@ -3,7 +3,7 @@ name: MachineLearning
topic: Machine Learning & Statistical Learning
maintainer: Torsten Hothorn, Hannah Frick, Lucas Kook
email: Torsten.Hothorn@R-project.org
version: 2026-07-14
version: 2026-08-21
source: https://github.com/cran-task-views/MachineLearning/
---

Expand DownExpand Up@@ -212,12 +212,22 @@ roughly structured into the following topics:
Miner algorithm (implemented in C++) for finding the key
associations in transaction data efficiently, in the form of
self-sufficient itemsets, using either leverage or lift.
Package `r pkg("nuggets")` provides an extensible framework for
discovering rules and other patterns in data, including fuzzy
association rules, contrasts and conditional correlations. It
supports user-defined rule types, as well as visualization and
interactive browsing of discovered patterns.
- *Fuzzy Rule-based Systems* : Package `r pkg("frbs")`
implements a host of standard methods for learning fuzzy rule-based
systems from data for regression and classification. Package
`r pkg("RoughSets")` provides comprehensive
implementations of the rough set theory (RST) and the fuzzy rough
set theory (FRST) in a single package.
set theory (FRST) in a single package. Package `r pkg("lfl")`
implements algorithms for linguistic fuzzy logic (fuzzy natural
logic), including perception-based logical deduction, missing values
interpretation, fuzzy relational composition, intermediate
quantifiers, Sugeno integral, and fuzzy rule-based ensembles for
time-series forecasting.
- *Model selection and validation* : Package
`r pkg("e1071")` has function `tune()` for hyper
parameter tuning and function `errorest()`
Expand Down