e1071

Misc Functions of the Department of Statistics at TU Wien for R

EstablishedOpen SourceLow lock-in

Pricing

See website

Flat rate

Adoption

Stable

License

Open Source

Data freshness

Overview

What is e1071?

The e1071 package provides a collection of functions for data mining, statistical learning and classification tasks in R. It includes support vector machines (SVMs), short time Fourier transform, fuzzy clustering, shortest path computation, bagged clustering, naive Bayes classifier, and more.

Key differentiator

e1071 stands out as a comprehensive package within the R ecosystem, offering a wide range of statistical and classification methods that are essential for researchers and statisticians.

Capability profile

Strength Radar

Support Vector M…Short Time Fouri…Fuzzy ClusteringNaive Bayes Clas…

Honest assessment

Strengths & Weaknesses

↑ Strengths

Support Vector Machines (SVMs)

Short Time Fourier Transform

Fuzzy Clustering

Naive Bayes Classifier

Fit analysis

Who is it for?

✓ Best for

Researchers needing a comprehensive set of tools for classification tasks within the R environment.

Statisticians who require SVM and fuzzy clustering functionalities.

✕ Not a fit for

Developers looking for cloud-based machine learning services

Teams requiring real-time data processing capabilities

Cost structure

Pricing

Free Tier

None

Starts at

See website

Model

Flat rate

Enterprise

None

Performance benchmarks

How Fast Is It?

Ecosystem

Relationships

Alternatives

Next step

Get Started with e1071

Step-by-step setup guide with code examples and common gotchas.

View Setup Guide →