1/9/2024 0 Comments Aquamacs sample code![]() XeTeX now comes bundled with MacTeX, so you may already have it installed on your system. XeTeX is a LaTeX-like engine which allows for powerful OpenType font selection and thus truly general typesetting. Now available on Overleaf! See the openly shared Overleaf project for caxetexFreeOL. Scripts: See help for partialRankBayes and run example(partialRankBayes) from the command line in R.Ī XeTeX stylesheet for scientific papers and books that uses only free OpenType fonts. Also included are prediction functions for each model, and random number generators for partial ranks.ĭependencies: R2WinBUGS, coda, lattice, MCMCpack (all available from CRAN) The package also contains censored regression and ordered probit approaches which do not account for these dependencies. This package includes a Bayesian estimator for partial rank data, based on the rank likelihood, which accounts for the dependencies across different ranked observations. ![]() Information from known ranks can be used to estimate relationships among, and unknown values of, partially observed ranks. Partial rank data are observed up a known interval of ranks, called a tier. If you would like to contribute, please contact Chris Adolph via the email at left.īayesian estimation of partial rank regression models. The simcf + tile combination thus offers more control to advanced R users than Zelig, but at present supports a narrower range of models.ĭependencies: Often used in conjunction with the tile package provided above.ĭevelopment: simcf is presently in development through this Github repository. ![]() This makes simcf particularly useful in conjunction with the tile package, and in particular its ropeladder and lineplot functions. simcf offers similar functionality to Zelig, but is more modular: users can use any function they like to do the initial statistical analysis, then use simcf to produce counterfactual simulations, and then plot the results of those simulations using any package they wish. Currently supported models include linear regression, linear models with a lagged dependent variable, logit, probit, ordered logit and probit, multinomial logit, and log-linear models like Poisson and Negative Binomial regression. Version 0.2.20 updated to work with R 4.2.0Ĭalculate counterfactual expected values, first differences, and relative risks, and their confidence intervals. If you would like to contribute, please contact Chris Adolph via the email at left. R code and data for tile exploratory data analysis using scatterplots ( sample output).ĭevelopment: tile is presently in development through this Github repository.R code for simcf + tile interpretation of a multiple models using tiled ropeladders ( three separate examples of sample output).R code and data for simcf + tile interpretation of a probit of democracy using tiled lineplots ( sample output).R code and data for simcf + tile interpretation of a logit of voting using lineplots ( sample output).In addition, see the scripts below, and still more examples in the package help files. Scripts: “Tufte Without Tears” provides an overview of the package and several examples of tile in action. Build your own tiled graphics from primitivesĭependencies: Most examples in the tile package require the R package simcf, available on this page.Fully control titles, annotation, and layering of graphical elements.Avoid extrapolation from the original data underlying your model.Summarize uncertainty in inferences from model.Create more experimental formats like ropeladders, nightplots, and riceplots.Make standard displays like scatterplots, lineplots, and dotplots.tile plots data to one or more graphical displays in a tiled layout with automated (or customizable) titles, axes, and annotations, and can solve many graphics problems: Version 0.4.17 updated to work with R 4.2.0Ī fully featured R graphics package built on the grid graphics environment. Need help installing a package? Choose your OS:
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