Other packages > Find by keyword >

PolisheR  

Interfacing 'NaileR' with 'Shiny'
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("PolisheR", "1.1.1")



Attach the package and use:
library("PolisheR")
Maintained by
Sébastien Lê
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-11-29
Latest Update: 2025-07-14
Description:
A very small package for more convenient use of 'NaileR'. You provide a data set containing a latent variable you want to understand. It generates a description and an interpretation of this latent variable using a Large Language Model. For perceptual data, it describes the stimuli used in the experiment.
How to cite:
Sébastien Lê (2024). PolisheR: Interfacing 'NaileR' with 'Shiny'. R package version 1.1.1, https://cran.r-project.org/web/packages/PolisheR. Accessed 24 Oct. 2026.
Previous versions and publish date:
(2026-07-09 08:17), 1.0.0 (2024-11-29 10:20), 1.1.0 (2025-07-13 13:10)
Other packages that cited PolisheR R package
View PolisheR citation profile
Other R packages that PolisheR depends, imports, suggests or enhances
Complete documentation for PolisheR
Functions, R codes and Examples using the PolisheR R package
Full PolisheR package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

funprog  
Functional Programming
High-order functions for data manipulation : sort or group data, given one or more auxiliary func ...
Download / Learn more Package Citations See dependency  
RcmdrPlugin.depthTools  
R Commander Depth Tools Plug-in
We provide an Rcmdr plug-in based on the depthTools package, which implements different robust stat ...
Download / Learn more Package Citations See dependency  
visdat  
Preliminary Visualisation of Data
Create preliminary exploratory data visualisations of an entire dataset to identify problems or une ...
Download / Learn more Package Citations See dependency  
r3PG  
Simulating Forest Growth using the 3-PG Model
Provides a flexible and easy-to-use interface for the Physiological Processes Predicting Growth (3-P ...
Download / Learn more Package Citations See dependency  
OOBCurve  
Out of Bag Learning Curve
Provides functions to calculate the out-of-bag learning curve for random forests for any measure tha ...
Download / Learn more Package Citations See dependency  
extlasso  
Maximum Penalized Likelihood Estimation with Extended Lasso Penalty
Estimates coefficients of extended LASSO penalized linear regression and generalized linear models. ...
Download / Learn more Package Citations See dependency  

29,218

R Packages

247,686

Dependencies

77,281

Author Associations

29,081

Publication Badges

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