Christopher Gandrud

Christopher Gandrud

15 packages on CRAN

coreSim

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Core functions for simulating quantities of interest from generalised linear models (GLM). This package will form the backbone of a series of other packages that improve the interpretation of GLM estimates.

d3Network

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This packages is intended to make it easy to create D3 JavaScript network, tree, dendrogram, and Sankey graphs from R using data frames. !!! NOTE: Active development has moved to the networkD3 package. !!!

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Tools for combining and cleaning data sets, particularly with grouped and time series data.

dpmr

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Create, install, and summarise data packages that follow the Open Knowledge Foundation's Data Package Protocol.

dynsim

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Dynamic simulations and graphical depictions of autoregressive relationships.

imfr

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Explore and download data from the International Monetary Fund's data API <http://data.imf.org/>.

networkD3

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Creates 'D3' 'JavaScript' network, tree, dendrogram, and Sankey graphs from 'R'.

plotMElm

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Plot marginal effects for interactions estimated from linear models.

psData

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This R package includes functions for gathering commonly used and regularly maintained data set in political science. It also includes functions for combining components from these data sets into variables that have been suggested in the literature, but are not regularly maintained.

repmis

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Tools to load 'R' packages and automatically generate BibTeX files citing them as well as load and cache plain-text and 'Excel' formatted data stored on 'GitHub', and from other sources.

simPH

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Simulates and plots quantities of interest (relative hazards, first differences, and hazard ratios) for linear coefficients, multiplicative interactions, polynomials, penalised splines, and non-proportional hazards, as well as stratified survival curves from Cox Proportional Hazard models. It also simulates and plots marginal effects for multiplicative interactions. Methods described in Gandrud (2015) <doi:10.18637/jss.v065.i03>.

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When working across multiple machines and, similarly for reproducible research, it can be time consuming to ensure that you have all of the needed packages installed and loaded and that the correct working directory is set. 'simpleSetup' provides simple functions for making these tasks more straightforward.

highr

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Provides syntax highlighting for R source code. Currently it supports LaTeX and HTML output. Source code of other languages is supported via Andre Simon's highlight package (<http://www.andre-simon.de>).

rio

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Streamlined data import and export by making assumptions that the user is probably willing to make: 'import()' and 'export()' determine the data structure from the file extension, reasonable defaults are used for data import and export (e.g., 'stringsAsFactors=FALSE'), web-based import is natively supported (including from SSL/HTTPS), compressed files can be read directly without explicit decompression, and fast import packages are used where appropriate. An additional convenience function, 'convert()', provides a simple method for converting between file types.

Zelig

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A framework that brings together an abundance of common statistical models found across packages into a unified interface, and provides a common architecture for estimation and interpretation, as well as bridging functions to absorb increasingly more models into the package. Zelig allows each individual package, for each statistical model, to be accessed by a common uniformly structured call and set of arguments. Moreover, Zelig automates all the surrounding building blocks of a statistical work-flow--procedures and algorithms that may be essential to one user's application but which the original package developer did not use in their own research and might not themselves support. These include bootstrapping, jackknifing, and re-weighting of data. In particular, Zelig automatically generates predicted and simulated quantities of interest (such as relative risk ratios, average treatment effects, first differences and predicted and expected values) to interpret and visualize complex models.