I’m SUPER EXCITED to introduce modeltime.ensemble, the time series ensemble extension to modeltime. This tutorial (view original article) introduces our new R Package, Modeltime Ensemble, which makes it easy to perform stacked forecasts that improve forecast accuracy. If you like what you see, I have an Advanced Time ...

The Delphi epidemiological forecasting group at Carnegie Mellon University is undertaking a massive effort to develop leading indicators for COVID-19 outbreaks, and if you are an R or Python developer you can help. Delphi is working with both Facebook and Google to analyze the data from daily surveys that ask ...

At the eLife Sprint in September 2020, we revamped the covidpreprints.com website, which aims at featuring landmark preprints on a timeline of the pandemic. The birth of the project The ongoing COVID-19 pandemic has led to about 35 million confirmed cases and over a million deaths worldwide. The looming spectre of ...

simstudy version 0.2.1 has just been submitted to CRAN. Along with this release, the big news is that I’ve been joined by Jacob Wujciak-Jens as a co-author of the package. He initially reached out to me from Germany with some suggestions for improv...

So are model homotopies commonly used? Yes, they are. As an example consider glmnet: Jerome Friedman, Trevor Hastie, Robert Tibshirani (2010). Regularization Paths for Generalized Linear Models via Coordinate Descent. Journal of Statistical Software, 33(1), 1-22. URL http://www.jstatsoft.org/v33/i01/. From help(glmnet): library(glmnet) x = matrix(rnorm(100 * 20), 100, 20) g2 = […]

Learn how to display your pretty R tables in GitHub by hosting your .Rmd html output with GitHub pages.

Learn how to display your pretty R tables in GitHub by hosting your .Rmd html output with GitHub pages.

Load data Feature Engineering & Data Splits Lag Based Features (Before Split, use dplyr or similar) Data Splits Other Features (After Split, use recipes) Model Specification and Training Model Evaluation Appendix Model Building with Hyperparam...

Introduction Data Aim and hypotheses of ANOVA Underlying assumptions of ANOVA Variable type Independence Normality Equality of variances - homogeneity Another method to test normality and homogeneity ANOVA Preliminary analyses ANOVA in R Interpretations of ANOVA results What’s next? Post-hoc test Issue of multiple testing Post-hoc tests in R ...

Load data Feature Engineering & Data Splits Lag Based Features (Before Split, use dplyr or similar) Data Splits Other Features (After Split, use recipes) Model Specification and Training Model Evaluation Appendix Model Building with Hyperparam...

Source: xbrl.org Introduction This is part 2 of a 3-part series on extracting XBRL data from secdatabase.com. In Learning SQL and Exploring XBRL with secdatabase.com - Part 1, we showed how to set up the database connection from RStudio. In this post, we will discuss the basics of XBRL ...

Introduction Data Aim and hypotheses of ANOVA Underlying assumptions of ANOVA Variable type Independence Normality Equality of variances - homogeneity Another method to test normality and homogeneity ANOVA Preliminary analyses ANOVA in R Interpretations of ANOVA results What’s next? Post-hoc test Issue of multiple testing Post-hoc tests in R ...

In the last post, we were able to identify when a regime change occurs. Today we will focus on speed (well, a trade-off) For the next question, we will still be using the datasets available at https://github.com/matrix-profile-foundation/mpf-datasets so you can try this at home. The original ...