Skip to content

NeuralEstimators

0.2.2Package record

Likelihood-Free Parameter Estimation using Neural Networks

1packages depend
3.6Kdownloads / year
1.3%test coverage
13/13flavors OK

Overview

About

An 'R' interface to the 'Julia' package 'NeuralEstimators.jl'. The package facilitates the user-friendly development of neural Bayes estimators, which are neural networks that map data to a point summary of the posterior distribution (Sainsbury-Dale et al., 2024, doi:10.1080/00031305.2023.2249522). These estimators are likelihood-free and amortised, in the sense that, once the neural networks are trained on simulated data, inference from observed data can be made in a fraction of the time required by conventional approaches. The package also supports amortised Bayesian or frequentist inference using neural networks that approximate the posterior or likelihood-to-evidence ratio (Zammit-Mangion et al., 2025, Sec. 3.2, 5.2, doi:10.48550/arXiv.2404.12484). The package accommodates any model for which simulation is feasible by allowing users to define models implicitly through simulated data.

Install

Health

CRAN checks
13OK
Slowest check: 1.7 min · r-oldrel-macos-x86_64
Status changes
  • OK13 OK2026-09-08
  • ERROR12 OK, 1 ERROR2026-09-07
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.2.2
READMEYes · 287 wordsVignettesYes · 2 · staticNEWSNoCitation fileYes · cites a publicationWebsiteYes
Help pages
24 (1 internal)includes a package overview page
Examples that run
0%6 never run
Exported functions with examples
26%
Documented parameters
97%
Return-value docs
100%
Help pages citing references
0%

Downloads

3.6K
CRAN downloads in the past year
Rank #8,486 · ~10/day · ~302/mo
Daily download trend is not available in this view yet.
49630 days
1.1K90 days
3.6K1 year
Compare downloads with other packages →
Also on100 r2u11 autocran

Repository

15Stars
2Forks
0Open issues
0Open PRs
0Releases
98Commits
7Commit identities
98 commits · Last activity 2026-09-08 · +7.1% stars, 30d
Responsiveness
not measured

Stars over time

2025-09-19 · 112026-09-21 · 15
PracticesBeta

4 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/msainsburydale/neuralestimators on 2026-10-11.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux

Coverage (1)
Coverage reporting
CRAN release process (1)
cran-comments.md
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
12 external dependencies (excludes base and recommended)

Installing NeuralEstimators adds 2 packages (1 with compiled code, 362 KB of source tarballs). Heaviest: magrittr 275 KB, JuliaConnectoR 87 KB.

Depends (0)
none
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
1direct
0indirect
Imports 1
Depends, Imports or LinkingTo, most downloaded first

People & History

People (1)
Author, Maintainer since 0.1.0 (2024)
Releases (7)

Pick two releases to compare their code metrics.

  • 0.2.2Latest
    record
    2026-09-09 · current release · diff ↗ ·
    added 7 exports
    PointEstimator, PosteriorEstimator, RatioEstimator, cpu_device, gpu_device, infer, reactant_device
  • 0.2.1
    record
    2026-04-28 · diff ↗ ·
    removed 1 export
    posteriormode
    added 1 export
    logratio
  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • 0.2.0
    record
    2025-03-02 · diff ↗ ·
    removed 5 exports
    initialise_estimator, loadweights, mapestimate, mlestimate, spatialgraphlist
    added 1 export
    posteriormode
  • 0.1.3
    record
    2025-01-14 · diff ↗ ·
    added 2 exports
    spatialgraph, spatialgraphlist
  • 0.1.2
    record
    2024-12-19 · diff ↗
  • 0.1.1
    record
    2024-11-03 · diff ↗
  • 0.1.0
    record
    2024-09-11
  • R
    R 4.4.0 released · 2024-04-24

Package metadata

First published
2024-09-11
Total releases
7 / 2 yrs
License
GPL (>= 2) OSI
Download size
475 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("NeuralEstimators")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.32614/cran.package.neuralestimators, 10.1080/00031305.2023.2249522.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for NeuralEstimators version 0.2.2 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy