likert - Analysis and Visualization Likert Items

An approach to analyzing Likert response items, with an emphasis on visualizations. The stacked bar plot is the preferred method for presenting Likert results. Tabular results are also implemented along with density plots to assist researchers in determining whether Likert responses can be used quantitatively instead of qualitatively. See the likert(), summary.likert(), and plot.likert() functions to get started.

Last updated 2 years ago

10.36 score 310 stars 2 packages 476 scripts 3.7k downloads

login - 'shiny' Login Module

Framework for adding authentication to 'shiny' applications. Provides flexibility as compared to other options for where user credentials are saved, allows users to create their own accounts, and password reset functionality. Bryer (2024) <doi:10.5281/zenodo.10987876>.

Last updated 7 months ago

6.35 score 20 stars 45 scripts 169 downloads

multilevelPSA - Multilevel Propensity Score Analysis

Conducts and visualizes propensity score analysis for multilevel, or clustered data. Bryer & Pruzek (2011) <doi:10.1080/00273171.2011.636693>.

Last updated 5 years ago

4.80 score 16 stars 78 scripts 163 downloads

TriMatch - Propensity Score Matching of Non-Binary Treatments

Propensity score matching for non-binary treatments.

Last updated 7 years ago

4.77 score 13 stars 1 packages 30 scripts 205 downloads

PSAgraphics - Propensity Score Analysis Graphics

A collection of functions that primarily produce graphics to aid in a Propensity Score Analysis (PSA). Functions include: cat.psa and box.psa to test balance within strata of categorical and quantitative covariates, circ.psa for a representation of the estimated effect size by stratum, loess.psa that provides a graphic and loess based effect size estimate, and various balance functions that provide measures of the balance achieved via a PSA in a categorical covariate.

Last updated 9 months ago

propensity-score

4.51 score 3 stars 3 packages 24 scripts 380 downloads

PSAboot - Bootstrapping for Propensity Score Analysis

It is often advantageous to test a hypothesis more than once in the context of propensity score analysis (Rosenbaum, 2012) <doi:10.1093/biomet/ass032>. The functions in this package facilitate bootstrapping for propensity score analysis (PSA). By default, bootstrapping using two classification tree methods (using 'rpart' and 'ctree' functions), two matching methods (using 'Matching' and 'MatchIt' packages), and stratification with logistic regression. A framework is described for users to implement additional propensity score methods. Visualizations are emphasized for diagnosing balance; exploring the correlation relationships between bootstrap samples and methods; and to summarize results.

Last updated 1 years ago

propensity-score

4.14 score 12 stars 23 scripts 683 downloads

brickset - Interface with the Brickset API for Getting Data About LEGO Sets

Interface with the 'Brickset' API <https://brickset.com/article/52664/api-version-3-documentation> for getting data about LEGO sets. Data sets that can be used for teaching and learning without the need of a 'Brickset' account and API key are also included. Includes all LEGO since through the end of 2023.

Last updated 11 months ago

lego

3.85 score 13 stars 11 scripts 254 downloads