Other packages > Find by keyword >

cito  

Building and Training Neural Networks
View on CRAN: Click here


Download and install cito package within the R console
Install from CRAN:
install.packages("cito")

Install from Github:
library("remotes")
install_github("cran/cito")

Install by package version:
library("remotes")
install_version("cito", "1.1")



Attach the package and use:
library("cito")
Maintained by
Maximilian Pichler
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-08-11
Latest Update: 2023-03-13
Description:
The 'cito' package provides a user-friendly interface for training and interpreting deep neural networks (DNN). 'cito' simplifies the fitting of DNNs by supporting the familiar formula syntax, hyperparameter tuning under cross-validation, and helps to detect and handle convergence problems. DNNs can be trained on CPU, GPU and MacOS GPUs. In addition, 'cito' has many downstream functionalities such as various explainable AI (xAI) metrics (e.g. variable importance, partial dependence plots, accumulated local effect plots, and effect estimates) to interpret trained DNNs. 'cito' optionally provides confidence intervals (and p-values) for all xAI metrics and predictions. At the same time, 'cito' is computationally efficient because it is based on the deep learning framework 'torch'. The 'torch' package is native to R, so no Python installation or other API is required for this package.
How to cite:
Maximilian Pichler (2022). cito: Building and Training Neural Networks. R package version 1.1, https://cran.r-project.org/web/packages/cito. Accessed 22 Dec. 2024.
Previous versions and publish date:
1.0.0 (2022-08-11 17:10), 1.0.1 (2023-03-13 14:00), 1.0.2 (2023-10-06 16:40)
Other packages that cited cito R package
View cito citation profile
Other R packages that cito depends, imports, suggests or enhances
Complete documentation for cito
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

tropAlgebra  
Tropical Algebraic Functions
It includes functions like tropical addition, tropical multiplication for vectors and matrices. In t ...
Download / Learn more Package Citations See dependency  
elect  
Estimation of Life Expectancies Using Multi-State Models
Functions to compute state-specific and marginal life expectancies. The computation is based on a fi ...
Download / Learn more Package Citations See dependency  
Rfast2  
A Collection of Efficient and Extremely Fast R Functions II
A collection of fast statistical and utility functions for data analysis. Functions for regression, ...
Download / Learn more Package Citations See dependency  
wordspace  
Distributional Semantic Models in R
An interactive laboratory for research on distributional semantic models ('DSM', see < ...
Download / Learn more Package Citations See dependency  
dmlalg  
Double Machine Learning Algorithms
Implementation of double machine learning (DML) algorithms in R, based on Emmenegger and Buehlmann ...
Download / Learn more Package Citations See dependency  
composits  
Compositional, Multivariate and Univariate Time Series Outlier Ensemble
A compositional multivariate and univariate time series outlier ensemble.It uses the four R packages ...
Download / Learn more Package Citations See dependency  

23,394

R Packages

201,798

Dependencies

63,416

Author Associations

23,395

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA