Other packages > Find by keyword >

insane  

INsulin Secretion ANalysEr
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("insane", "1.0.3")



Attach the package and use:
library("insane")
Maintained by
Mickaël Canouil
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-11-04
Latest Update: 2023-11-14
Description:
A user-friendly interface, using Shiny, to analyse glucose-stimulated insulin secretion (GSIS) assays in pancreatic beta cells or islets. The package allows the user to import several sets of experiments from different spreadsheets and to perform subsequent steps: summarise in a tidy format, visualise data quality and compare experimental conditions without omitting to account for technical confounders such as the date of the experiment or the technician. Together, insane is a comprehensive method that optimises pre-processing and analyses of GSIS experiments in a friendly-user interface. The Shiny App was initially designed for EndoC-betaH1 cell line following method described in Ndiaye et al., 2017 ().
How to cite:
Mickaël Canouil (2020). insane: INsulin Secretion ANalysEr. R package version 1.0.3, https://cran.r-project.org/web/packages/insane. Accessed 05 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:49), 0.1.0 (2020-11-04 13:10), 1.0.0 (2022-11-25 01:00), 1.0.1 (2022-12-06 01:30), 1.0.2 (2023-04-01 14:30)
Other packages that cited insane R package
View insane citation profile
Other R packages that insane depends, imports, suggests or enhances
Complete documentation for insane
Functions, R codes and Examples using the insane R package
Some associated functions: deploy . go_insane . insane-package . 
Some associated R codes: deploy.R . go_insane.R . insane-package.R .  Full insane package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

noisyr  
Noise Quantification in High Throughput Sequencing Output
Quantifies and removes technical noise from high-throughput sequencing data. Two approaches are use ...
Download / Learn more Package Citations See dependency  
kernelPSI  
Post-Selection Inference for Nonlinear Variable Selection
Different post-selection inference strategies for kernelselection as described in kernelPSI a Post-S ...
Download / Learn more Package Citations See dependency  
dcov  
A Fast Implementation of Distance Covariance
Efficient methods for computing distance covariance and relevant statistics. See Sz ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
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  
dhReg  
Dynamic Harmonic Regression
Building and forecasting time series data with multiple seasonality using Dynamic Harmonic Regressio ...
Download / Learn more Package Citations See dependency  

28,083

R Packages

239,283

Dependencies

74,457

Author Associations

28,084

Publication Badges

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