Other packages > Find by keyword >

ramchoice  

Revealed Preference and Attention Analysis in Random Limited Attention Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ramchoice", "2.2")



Attach the package and use:
library("ramchoice")
Maintained by
Xinwei Ma
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-11-20
Latest Update: 2022-05-23
Description:
It is widely documented in psychology, economics and other disciplines that socio-economic agent may not pay full attention to all available alternatives, rendering standard revealed preference theory invalid. This package implements the estimation and inference procedures of Cattaneo, Ma, Masatlioglu and Suleymanov (2020) and Cattaneo, Cheung, Ma, and Masatlioglu (2022) , which utilizes standard choice data to partially identify and estimate a decision maker's preference and attention. For inference, several simulation-based critical values are provided.
How to cite:
Xinwei Ma (2017). ramchoice: Revealed Preference and Attention Analysis in Random Limited Attention Models. R package version 2.2, https://cran.r-project.org/web/packages/ramchoice. Accessed 03 Feb. 2025.
Previous versions and publish date:
0.1 (2017-11-20 19:11), 0.2 (2018-01-05 20:36), 1.0 (2019-03-16 21:50), 1.1 (2019-07-11 23:58), 2.0 (2021-10-23 02:20), 2.1 (2022-05-24 00:00)
Other packages that cited ramchoice R package
View ramchoice citation profile
Other R packages that ramchoice depends, imports, suggests or enhances
Complete documentation for ramchoice
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

copulaboost  
Fitting Additive Copula Regression Models for Binary Outcome Regression
Additive copula regression for regression problems with binary outcome via gradient boosting [Bran ...
Download / Learn more Package Citations See dependency  
PERMANOVA  
Multivariate Analysis of Variance Based on Distances and Permutations
Calculates multivariate analysis of variance based on permutations and some associated pictorial rep ...
Download / Learn more Package Citations See dependency  
ttbary  
Barycenter Methods for Spatial Point Patterns
Computes a point pattern in R^2 or on a graph that is representative of a collection of many data pa ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
flowTraceR  
Tracing Information Flow for Inter-Software Comparisons in Mass Spectrometry-Based Bottom-Up Proteomics
Useful functions to standardize software outputs from ProteomeDiscoverer, Spectronaut, DIA-NN and Ma ...
Download / Learn more Package Citations See dependency  
mscp  
Multiscale Change Point Detection via Gradual Bandwidth Adjustment in Moving Sum Processes
Multiscale moving sum procedure for the detection of changes in expectation in univariate sequences. ...
Download / Learn more Package Citations See dependency  

23,580

R Packages

204,057

Dependencies

63,980

Author Associations

23,581

Publication Badges

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