e1071
Misc Functions of the Department of Statistics at TU Wien for R
Pricing
Free tier
Flat rate
Adoption
→StableLicense
Open Source
Data freshness
UnverifiedOverview
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
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
The package does not fully leverage newer R functionalities and data structures, such as tibbles from the tidyverse.
Documentation lacks detailed examples and explanations for some functions, making it difficult to understand how to use them effectively.
Functions like SVM can be slow and memory-intensive when applied to large-scale data, limiting its practicality in big data scenarios.
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
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Works well with
Next step
Get Started with e1071
Step-by-step setup guide with code examples and common gotchas.