Package: stratEst 1.1.8

stratEst: Strategy Estimation

Variants of strategy estimation (Dal Bo & Frechette, 2011, <doi:10.1257/aer.101.1.411>), including the model with parameters for the choice probabilities of the strategies (Breitmoser, 2015, <doi:10.1257/aer.20130675>), and the model with individual level covariates for the selection of strategies by individuals (Dvorak & Fehrler, 2018, <doi:10.2139/ssrn.2986445>).

Authors:Fabian Dvorak [aut, cre]

stratEst_1.1.8.tar.gz
stratEst_1.1.8.zip(r-4.7-x86_64)stratEst_1.1.8.zip(r-4.7-arm64)stratEst_1.1.8.zip(r-4.6-x86_64)stratEst_1.1.8.zip(r-4.6-arm64)stratEst_1.1.8.zip(r-4.5-x86_64)
stratEst_1.1.8.tgz(r-4.6-x86_64)stratEst_1.1.8.tgz(r-4.6-arm64)stratEst_1.1.8.tgz(r-4.5-x86_64)stratEst_1.1.8.tgz(r-4.5-arm64)
stratEst_1.1.8.tar.gz(r-4.7-arm64)stratEst_1.1.8.tar.gz(r-4.7-x86_64)stratEst_1.1.8.tar.gz(r-4.6-arm64)stratEst_1.1.8.tar.gz(r-4.6-x86_64)
stratEst_1.1.8.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
stratEst/json (API)

# Install 'stratEst' in R:
install.packages('stratEst', repos = c('https://fdvorak.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/fdvorak/stratest/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:

On CRAN:

Conda:

openblascppopenmp

4.31 score 8 stars 51 scripts 324 downloads 11 exports 2 dependencies

Last updated from:c05aae64ea. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK170
linux-devel-x86_64OK191
source / vignettesOK279
linux-release-arm64OK181
linux-release-x86_64OK169
macos-release-arm64OK167
macos-release-x86_64OK281
macos-oldrel-arm64OK139
macos-oldrel-x86_64OK255
windows-devel-arm64OK252
windows-devel-x86_64OK161
windows-release-arm64OK245
windows-release-x86_64OK163
windows-oldrel-x86_64OK205
wasm-releaseOK144

Exports:is.stratEst.checkis.stratEst.datais.stratEst.modelis.stratEst.strategystratEststratEst.checkstratEst.datastratEst.modelstratEst.simulatestratEst.strategystratEst.test

Dependencies:RcppRcppArmadillo

Readme and manuals

Help Manual

Help pageTopics
Data of Dal Bo and Frechette (2011)data.DF2011
Data of Dvorak, Fischbacher and Schmelz (2020)data.DFS2020
Data of Fudenberg, Rand, and Dreber (2012)data.FRD2012
Data of the rock-paper-scissors game from Wang, Xu, and Zhou (2014)data.WXZ2014
Data of Dal Bo and Frechette (2011)DF2011
Data of Dvorak, Fischbacher and Schmelz (2020)DFS2020
Data of Fudenberg, Rand, and Dreber (2012)FRD2012
Class stratEst.checkis.stratEst.check
Class stratEst.datais.stratEst.data
Class stratEst.modelis.stratEst.model
Class stratEst.strategyis.stratEst.strategy
Plot Method for stratEst.strategyplot.stratEst.strategy
Print Method for stratEst.checkprint.stratEst.check
Print Method for stratEst.dataprint.stratEst.data
Print Method for stratEst.modelprint.stratEst.model
Print Method for stratEst.strategyprint.stratEst.strategy
Round Method for stratEst.strategyround.stratEst.strategy
strategies.DF2011strategies.DF2011
strategies.DFS2020strategies.DFS2020
strategies.FRD2012strategies.FRD2012
strategies.PDstrategies.PD
strategies.RPSstrategies.RPS
Strategy Estimation FunctionstratEst
Check model assumptionsstratEst.check
Creates a stratEst.data object.stratEst.data
Strategy Estimation FunctionstratEst.model
Simulation function for strategy estimation.stratEst.simulate
Creates a stratEst.strategy object.stratEst.strategy
Runs t-tests if model parameters differ from user defined valuesstratEst.test
Method dispatch for Generic Function Summarysummary.stratEst.check
Method dispatch for Generic Function summarysummary.stratEst.data
Method dispatch for Generic Function Summarysummary.stratEst.model
Data of the rock-paper-scissors game from Wang, Xu, and Zhou (2014)WXZ2014