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indrajeetpatil.github.io
| | aosmith.rbind.io
3.2 parsecs away

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| | Where I discuss simulations, why I love them, and get started on a simulation series with a simple two-group linear model simulation.
| | easystats.github.io
2.9 parsecs away

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| | You probably already have heard of the parameters package, a light-weight package to extract, compute and explore the parameters of statistical models using R (if not, there is a related publication introducing the package's main features). In this post, we like to introduce a new feature that facilitates nicely rendered output in markdown or HTML format (including PDFs). This allows you to easily create pretty tables of model summaries, for a large variety of models.
| | freerangestats.info
3.4 parsecs away

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| | Stepwise variable selection is bad and dangerous, and you shouldn't do it. It increases false positives. It drops variables that should be in the model. It gives biased estimates for regression coefficients. The problems are worse for smaller samples; higher correlation between the X variables; and models with weaker explanatory power for the y (i.e. lower R-squared).
| | poissonisfish.com
19.6 parsecs away

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| It has been well over a year since my last entry, I have been rather quiet because someone has been rather loud Just last week I found some time to rewrite a draft on gradient descent from about two years ago, so here we are - back in business! Gradient descent is a fundamental...