Aug 4, 2021 · Here I give a simpler example than the original, for the linear regression context. First, load the package and estimate a regression model:
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... model fit statistics - we only want to change the p-values. We use the parameters package to compute the adjusted p-values. library("lme4") mod <- lmer(mpg ...
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May 31, 2024 · I'm working with panel data using the plm package in R to estimate a fixed effects model that includes interaction terms. I'm currently able to ...
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modelsummary includes a powerful set of utilities to customize the information displayed in your model summary tables. You can easily rename, reorder, ...
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Abstract modelsummary is a package to summarize data and statistical models in R. It supports over one hundred types of models out-of-the-box, ...
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This package supports dozens of statistical models, and it can produce tables in HTML, LaTeX, Word, Markdown, PDF, PowerPoint, Excel,. RTF, JPG, or PNG. Tables ...
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Mar 13, 2021 · What I'm doing in the following example code is to run regressions first and then collect the p-values of each coefficient. Then I calculate a ...
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