R-universe search: topic:correlation-coefficient

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nelson-gon

manymodelr:Build and Tune Several Models

Frequently one needs a convenient way to build and tune several models in one go.The goal is to provide a number of machine learning convenience functions. It provides the ability to build, tune and obtain predictions of several models in one function. The models are built using functions from 'caret' with easier to read syntax. Kuhn(2014) <doi:10.48550/arXiv.1405.6974>.

Maintained by Nelson Gonzabato. Last updated 14 days ago.

analysis-of-variance anova correlation correlation-coefficient generalized-linear-models gradient-boosting-decision-trees knn-classification linear-models linear-regression machine-learning missing-values models r-programming random-forest-algorithm regression-models

2 stars 5.78 score 50 scripts

paulnorthrop

smovie:Some Movies to Illustrate Concepts in Statistics

Provides movies to help students to understand statistical concepts. The 'rpanel' package <https://cran.r-project.org/package=rpanel> is used to create interactive plots that move to illustrate key statistical ideas and methods. There are movies to: visualise probability distributions (including user-supplied ones); illustrate sampling distributions of the sample mean (central limit theorem), the median, the sample maximum (extremal types theorem) and (the Fisher transformation of the) product moment correlation coefficient; examine the influence of an individual observation in simple linear regression; illustrate key concepts in statistical hypothesis testing. Also provided are dpqr functions for the distribution of the Fisher transformation of the correlation coefficient under sampling from a bivariate normal distribution.

Maintained by Paul J. Northrop. Last updated 1 years ago.

central-limit-theorem correlation-coefficient extremal-types-theorem extremes hypothesis-testing likelihood-ratio-test linear-regression log-likelihood movie probability-distributions regression score-test statistical-concepts statistics statistics-learning teaching teaching-materials test-statistic wald-test

1 stars 3.70 score 10 scripts