R package citation, R package reverse dependencies, R package scholars, install an r package from GitHub hy is package acceptance pending why is package undeliverable amazon why is package on hold dhl tour packages why in r package r and r package full form why is r free why r is bad which r package to install which r package has which r package which r package version which r package readxl which r package ggplot which r package fread which r package license where is package.json where is package-lock.json where is package.swift where is package explorer in eclipse where is package where is package manager unity where is package installer android where is package manager console in visual studio who r package which r package to install which r package version who is package who is package deal who is package design r and r package full form r and r package meaning what r package has what package r what is package in java what is package what is package-lock.json what is package in python what is package.json what is package installer do r package can't install r packages r can't find package r can't load package can't load xlsx package r can't install psych package r can't install sf package r Write if else in NONMEM pk pd
NeuralEstimators
View on CRAN: Click
here
Download and install NeuralEstimators package within the R console
Install from CRAN:
install.packages("NeuralEstimators")
Install from Github:
library("remotes")
install_github("cran/NeuralEstimators") Install by package version:
library("remotes")
install_version("NeuralEstimators", "0.2.0") Attach the package and use:
library("NeuralEstimators")
Maintained by
Matthew Sainsbury-Dale
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-09-11
Latest Update: 2025-03-02
Description:
An 'R' interface to the 'Julia' package 'NeuralEstimators.jl'. The package facilitates the user-friendly development of neural point estimators, which are neural networks that map data to a point summary of the posterior distribution. These estimators are likelihood-free and amortised, in the sense that, after an initial setup cost, inference from observed data can be made in a fraction of the time required by conventional approaches; see Sainsbury-Dale, Zammit-Mangion, and Huser (2024) <doi:10.1080/00031305.2023.2249522> for further details and an accessible introduction. The package also enables the construction of neural networks that approximate the likelihood-to-evidence ratio in an amortised manner, allowing one to perform inference based on the likelihood function or the entire posterior distribution; see Zammit-Mangion, Sainsbury-Dale, and Huser (2024, Sec. 5.2) <doi:10.48550/arXiv.2404.12484>, and the references therein. The package accommodates any model for which simulation is feasible by allowing the user to implicitly define their model through simulated data.
How to cite:
Matthew Sainsbury-Dale (2024). NeuralEstimators: Likelihood-Free Parameter Estimation using Neural Networks. R package version 0.2.0, https://cran.r-project.org/web/packages/NeuralEstimators. Accessed 26 Jun. 2026.
Previous versions and publish date:
Other packages that cited NeuralEstimators R package
View NeuralEstimators citation profile
Other R packages that NeuralEstimators depends,
imports, suggests or enhances
Complete documentation for NeuralEstimators
Functions, R codes and Examples using
the NeuralEstimators R package
Full NeuralEstimators package
functions and examples
Downloads during the last 30 days
Today's Hot Picks in Authors and Packages
PoisBinOrdNor
Generation of multiple count, binary, ordinal and normal variables simultaneously given the marginal ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Ran Gao (view profile)
tactile
Extensions to 'lattice', providing new high-level functions, methods for existing functions, panel f ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Johan Larsson (view profile)
infotheo
Implements various measures of information theory based on several entropy estimators. ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Patrick E. Meyer (view profile)
quickcode
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
ggblanket
Simplify 'ggplot2' visualisation with 'ggblanket' wrapper
functions. ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: David Hodge (view profile)
poptrend
Functions to estimate and plot smooth or linear population trends, or population indices,
from anim ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Jonas Knape (view profile)
27,535
R Packages
236,180
Dependencies
73,223
Author Associations
27,536
Publication Badges
