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sigmoid  

Sigmoid Functions for Machine Learning
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("sigmoid", "1.4.0")



Attach the package and use:
library("sigmoid")
Maintained by
Bastiaan Quast
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-04-25
Latest Update: 2022-06-18
Description:
Several different sigmoid functions are implemented, including a wrapper function, SoftMax preprocessing and inverse functions.
How to cite:
Bastiaan Quast (2016). sigmoid: Sigmoid Functions for Machine Learning. R package version 1.4.0, https://cran.r-project.org/web/packages/sigmoid. Accessed 08 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:04), 0.1.0 (2016-04-25 16:52), 0.2.0 (2016-08-14 15:28), 0.2.1 (2017-03-14 14:35), 0.3.0 (2018-06-21 18:52)
Other packages that cited sigmoid R package
View sigmoid citation profile
Other R packages that sigmoid depends, imports, suggests or enhances
Complete documentation for sigmoid
Functions, R codes and Examples using the sigmoid R package
Some associated functions: Gompertz . SoftMax . SoftPlus . inverse_Gompertz . leakyrelu . logistic . logit . relu . relu_output_to_derivative . sigmoid . sigmoid_output_to_derivative . softplus_output_to_derivative . tanh_output_to_derivative . 
Some associated R codes: sigmoid.R .  Full sigmoid package functions and examples
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