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bcallaway11

did:Treatment Effects with Multiple Periods and Groups

The standard Difference-in-Differences (DID) setup involves two periods and two groups -- a treated group and untreated group. Many applications of DID methods involve more than two periods and have individuals that are treated at different points in time. This package contains tools for computing average treatment effect parameters in Difference in Differences setups with more than two periods and with variation in treatment timing using the methods developed in Callaway and Sant'Anna (2021) <doi:10.1016/j.jeconom.2020.12.001>. The main parameters are group-time average treatment effects which are the average treatment effect for a particular group at a a particular time. These can be aggregated into a fewer number of treatment effect parameters, and the package deals with the cases where there is selective treatment timing, dynamic treatment effects, calendar time effects, or combinations of these. There are also functions for testing the Difference in Differences assumption, and plotting group-time average treatment effects.

Maintained by Brantly Callaway. Last updated 3 days ago.

329 stars 12.09 score 696 scripts 3 dependents

rubenfcasal

npsp:Nonparametric Spatial Statistics

Multidimensional nonparametric spatial (spatio-temporal) geostatistics. S3 classes and methods for multidimensional: linear binning, local polynomial kernel regression (spatial trend estimation), density and variogram estimation. Nonparametric methods for simultaneous inference on both spatial trend and variogram functions (for spatial processes). Nonparametric residual kriging (spatial prediction). For details on these methods see, for example, Fernandez-Casal and Francisco-Fernandez (2014) <doi:10.1007/s00477-013-0817-8> or Castillo-Paez et al. (2019) <doi:10.1016/j.csda.2019.01.017>.

Maintained by Ruben Fernandez-Casal. Last updated 5 months ago.

geostatisticsspatial-data-analysisstatisticsfortranopenblas

4 stars 5.71 score 64 scripts

piklprado

Rsampling:Ports the Workflow of "Resampling Stats" Add-in to R

Resampling Stats (http://www.resample.com) is an add-in for running randomization tests in Excel worksheets. The workflow is (1) to define a statistic of interest that can be calculated from a data table, (2) to randomize rows ad/or columns of a data table to simulate a null hypothesis and (3) and to score the value of the statistic from many randomizations. The relative frequency distribution of the statistic in the simulations is then used to infer the probability of the observed value be generated by the null process (probability of Type I error). This package intends to translate this logic for R for teaching purposes. Keeping the original workflow is favored over performance.

Maintained by Paulo Prado. Last updated 9 years ago.

5.11 score 16 scripts

sigbertklinke

smvgraph:Visualization and Clustering of Data in a Shiny App

Various visualisations of univariate and multivariate graphs (e.g. mosaic diagram, scatterplot matrix, Andrews curves, parallel coordinate diagram, radar diagram and Chernoff plots) as well as clustering methods (e.g. k-means, agglomerative, EM clustering and DBSCAN) are implemented as a Shiny app. The app allows interactive changes, e.g. of the order of variables. It is intended for use in teaching.

Maintained by Sigbert Klinke. Last updated 2 years ago.

3.70 score

miserman

splot:Simplified Plotting for Data Exploration

Automates common plotting tasks to ease data exploration. Makes density plots (potentially overlaid on histograms), scatter plots with prediction lines, or bar or line plots with error bars. For each type, y, or x and y variables can be plotted at levels of other variables, all with minimal specification.

Maintained by Micah Iserman. Last updated 1 years ago.

data-visualization

3.06 score 23 scripts

cran

clikcorr:Censoring Data and Likelihood-Based Correlation Estimation

A profile likelihood based method of estimation and inference on the correlation coefficient of bivariate data with different types of censoring and missingness.

Maintained by Yanming Li. Last updated 9 years ago.

1.00 score

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