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stats.oarc.ucla.edu

statistical consulting web resources

easystats.github.io

The get_predicted() function is a robust, flexible and user-friendly alternative to base R predict() function. Additional features and advantages include availability of uncertainty intervals (CI), bootstrapping, a more intuitive API and the support of more models than base R's predict() function. However, although the interface are simplified, it is still very important to read the documentation of the arguments. This is because making "predictions" (a lose term for a variety of things) is a non-trivial process, with lots of caveats and complications. Read the 'Details' section for more information. get_predicted_ci() returns the confidence (or prediction) interval (CI) associated with predictions made by a model. This function can be called separately on a vector of predicted values. get_predicted() usually returns confidence intervals (included as attribute, and accessible via the as.data.frame() method) by default. It is preferred to rely on the get_predicted() function for standard errors and confidence intervals - use get_predicted_ci() only if standard errors and confidence intervals are not available otherwise.

imai.fas.harvard.edu

Kosuke Imai is Professor of Government and Statistics at Harvard University, specializing in causal inference, computational social science, and survey methodology.

regorz-statistik.de

statistik-beratung für masterarbeiten und dissertationen sowie kostenlose online-/video-tutorials für viele statistische verfahren.

sociologygroup.com

Who can write for the Sociology Group?Anyone who wants to write on socio-politically relevant subjects, can! Your opinion and your voice matter. Does Sociology Group accept content that has been published before?No, we are always looking for original submissions. How can I publish my article?You are just a click away. Publish your article here. How...

smartpls.com

Partial least squares (PLS) path modeling or PLS structural equation modeling (PLS-SEM) is a key multivariate analysis method that researchers frequently review for its application in their field.