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juliasilge.com | ||
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www.markhw.com
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| | | | | [AI summary] The blog post discusses modeling variance in data using the gamlss package in R, focusing on the user's film ratings over time. It highlights how the standard deviation of ratings increases with the release year of films, reflecting the user's movie selection habits. The analysis shows that older films have higher average ratings and lower variability, while newer films have lower average ratings and higher variability. The post emphasizes the importance of considering variance in social phenomena and provides practical examples using R for data visualization and statistical modeling. | |
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sfdep.josiahparry.com
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svmiller.com
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| | | | | Here is a how-to on bootstrapping standard errors in R in a flexible way, using some tidyverse-friendly packages like modelr and purrr. | |
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dustintran.com
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| | | The elastic net [3] provides a regularized objective function that meets a compromise between the two extremes of Lasso [2] and ridge regression. It takes in... | ||
