Links[{"label":"IRexamples.html","section":"","type":"","url":"https://cran.r-project.org/web/packages/IRexamples/refman/IRexamples.html"},{"label":"IRexamples.pdf","section":"","type":"","url":"https://cran.r-project.org/web/packages/IRexamples/IRexamples.pdf"},{"label":"Example 1: Propensity Score Weights Using Gradient Boosted Trees","section":"","type":"","url":"https://cran.r-project.org/web/packages/IRexamples/vignettes/Ex-01-Propensity-Score-Weights-Using-GBM.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/IRexamples/vignettes/Ex-01-Propensity-Score-Weights-Using-GBM.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/IRexamples/vignettes/Ex-01-Propensity-Score-Weights-Using-GBM.R"},{"label":"Example 2: Adjusting for Survey Non-Response Using Weights","section":"","type":"","url":"https://cran.r-project.org/web/packages/IRexamples/vignettes/Ex-02-Adjusting-For-Survey-Non-Response-Using-Weights.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/IRexamples/vignettes/Ex-02-Adjusting-For-Survey-Non-Response-Using-Weights.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/IRexamples/vignettes/Ex-02-Adjusting-For-Survey-Non-Response-Using-Weights.R"},{"label":"Example 3: Accounting for Instructor-level Effects with Bayesian Multilevel Models","section":"","type":"","url":"https://cran.r-project.org/web/packages/IRexamples/vignettes/Ex-03-Instructor-Level-Effects-With-Bayesian-Multilevel-Models.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/IRexamples/vignettes/Ex-03-Instructor-Level-Effects-With-Bayesian-Multilevel-Models.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/IRexamples/vignettes/Ex-03-Instructor-Level-Effects-With-Bayesian-Multilevel-Models.R"},{"label":"Example 4: Webscraping Online Data Files (e.g., CCC Chancellor's Office Data)","section":"","type":"","url":"https://cran.r-project.org/web/packages/IRexamples/vignettes/Ex-04-Webscraping-Online-Data-Files.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/IRexamples/vignettes/Ex-04-Webscraping-Online-Data-Files.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/IRexamples/vignettes/Ex-04-Webscraping-Online-Data-Files.R"},{"label":"Example 5: Geocoding Addresses and Spatial Applications","section":"","type":"","url":"https://cran.r-project.org/web/packages/IRexamples/vignettes/Ex-05-Geocoding-Addresses.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/IRexamples/vignettes/Ex-05-Geocoding-Addresses.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/IRexamples/vignettes/Ex-05-Geocoding-Addresses.R"}]
TextReference manual: IRexamples.html , IRexamples.pdf Vignettes: Example 1: Propensity Score Weights Using Gradient Boosted Trees ( source , R code ) Example 2: Adjusting for Survey Non-Response Using Weights ( source , R code ) Example 3: Accounting for Instructor-level Effects with Bayesian Multilevel Models ( source , R code ) Example 4: Webscraping Online Data Files (e.g., CCC Chancellor's Office Data) ( source , R code ) Example 5: Geocoding Addresses and Spatial Applications ( source , R code )