2044 search results for "Regression"

Too crude to be true?

October 8, 2013
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Too crude to be true?

The key to programming is being lazy; it has actually been called a virtue by some. When I discovered the update() function it blew me away. Within short I had created a monster based upon this tiny function, allowing quick and easy output of regression tables that contain crude and adjusted estimates. In this post I’ll show...

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Sensitivity analysis for neural networks

October 7, 2013
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Sensitivity analysis for neural networks

I’ve made quite a few blog posts about neural networks and some of the diagnostic tools that can be used to ‘demystify’ the information contained in these models. Frankly, I’m kind of sick of writing about neural networks but I wanted to share one last tool I’ve implemented in R. I’m a strong believer that

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Questions on my online forecasting course

October 3, 2013
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I’ve been getting emails asking questions about my upcoming course on Forecasting using R. Here are some answers. Do I need to use the Revolution Enterprise version of R, or can I use open-source R? Open source R is fine. Revolution Analytics is organizing the course, but there is no requirement to use their software. I will be using...

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R and Data Week 2013

October 3, 2013
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R and Data Week 2013

by Joseph Rickert Data Week 2013 is being held this week in sunny San Francisco at the Fort Mason conference center overlooking the Bay. Holding a Bay Area R User Group Meeting (BARUG) at Data Week helped to raise the R consciousness among the hip conference crowd attracted by the intoxicating mix of blue skies, big data hype, startups...

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R PMML Support: BetteR than EveR

October 2, 2013
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R PMML Support: BetteR than EveR

How does it work? Simple! Once you build your model in R using any of the PMML supported model types, pass the model object as an input parameter to the pmml package as shown in the figure below.The pmml package offers export for a variety of model types, including:   •   ksvm (kernlab): Support Vector Machines    •   nnet: Neural Networks    •   rpart: C&RT Decision Trees    •   lm & glm (stats):...

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The Uncertainty of Predictions

October 2, 2013
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The Uncertainty of Predictions

There are many kinds of intervals in statistics.  To name a few of the common intervals: confidence intervals, prediction intervals, credible intervals, and tolerance intervals. Each are useful and serve their own purpose. I’ve been recently working on a couple of projects that involve making predictions from a regression model and I’ve been doing some

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PirateGruntTV

October 1, 2013
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PirateGruntTV

I’m on record as being a big fan of Coursera and have wanted to try and create my own video content ever since I saw theirs. Obviously they’re much better at it than I am, both in terms of production quality and content. Still, there probably isn’t much call for actuarial lectures on their site

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How heavy is the Siberut macaque? A Bayesian phylogenetic approach

September 30, 2013
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How heavy is the Siberut macaque? A Bayesian phylogenetic approach

Among-species comparisons can include phylogenetic information to account for non-independence arising from shared evolutionary history. Often, phylogenetic topologies and branch lengths are not known exactly, but are estimated with uncertainty. This uncertainty can be accounted for using methods recently described in a neat paper called Bayesian models for comparative analysis integrating phylogenetic uncertainty by Villemereuil et...

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ROC curves and classification

September 30, 2013
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ROC curves and classification

To get back to a question asked after the last course (still on non-life insurance), I will spend some time to discuss ROC curve construction, and interpretation. Consider the dataset we’ve been using last week, > db = read.table("http://freakonometrics.free.fr/db.txt",header=TRUE,sep=";") > attach(db) The first step is to get a model. For instance, a logistic regression, where some factors were merged...

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eoda’s R-academy celebrates its third anniversary and is extending the extensive training program for R

September 30, 2013
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The free statistical programming language R becomes more and more popular, even in German speaking areas. This happens for various reasons. Besides from its performance, its quality and its open source character, R scores with its various possibilities for integration. Beyond that R offers a multitude of possibilities in the field of multivariate analysis methods.

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