# 1771 search results for "regression"

## New Video: Credit Scoring & R: Reject inference, nested conditional models, & joint scores

August 29, 2013
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This post shares the video from the talk presented in August 2013 by Ross Gayler on Credit Scoring and R at Melbourne R Users. Credit scoring tends to involve the balancing of mutually contradictory objectives spiced with a liberal dash … Continue reading →

## In-Hadoop R-based Analytics coming to Cloudera

August 27, 2013
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Revolution Analytics has teamed up with Cloudera to bring the scalable data manipulation and statistical modeling algorithms of Revolution R Enteprise to the massively-parallel computing environments of CDH3 and CDH4 Hadoop clusters. As ZDNet reports: Specifically, the upcoming version 7.0 of the Revolution R Enterpise distribution and its ScaleR algorithms will run inside CDH3 and CDH4, eliminating the need...

## Using a GBM for Classification in R

August 26, 2013
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I discuss some advantages of Generalized Boosted Models over logistic regression and discriminant analysis and demonstrate how to use a GBM for binary classification (predicting whether an event occurs or not). Using a GBM for Classification in R from...

## predictNLS (Part 2, Taylor approximation): confidence intervals for ‘nls’ models

August 26, 2013
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$predictNLS (Part 2, Taylor approximation): confidence intervals for ‘nls’ models$

Initial Remark: Reload this page if formulas don’t display well! As promised, here is the second part on how to obtain confidence intervals for fitted values obtained from nonlinear regression via nls or nlsLM (package ‘minpack.lm’). I covered a Monte Carlo approach in http://rmazing.wordpress.com/2013/08/14/predictnls-part-1-monte-carlo-simulation-confidence-intervals-for-nls-models/, but here we will take a different approach: First- and second-order

## New Webinar: High Performance Predictive Analytics in R and Hadoop

August 23, 2013
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This coming Tuesday, August 27, our US Chief Scientist Mario Inchosa will reveal some details of the forthcoming in-Hadoop predictive analytics capabilities of Revolution R Enterprise 7, due for release later this year. Here's the abtract of his webinar, High Performance Predictive Analytics in R and Hadoop: Hadoop is rapidly being adopted as a major platform for storing and...

## influence.ME now supports new lme4 1.0

August 21, 2013
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influence.ME is an R package for detecting influential data in multilevel regression models (or, mixed effects models as they are referred to in the R community). The application of multilevel models has become common practice, but the development of diagnostic ...

## Print glm-output to HTML table #rstats

August 20, 2013
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We often use logistic regression models in our analyses and we also often need to publish the results in table format. And, we always use MS Word since this is our standard office in our department. So I thought about … Weiterlesen →

## Export R Results Tables to Excel – Please don’t kick me out of your club

August 19, 2013
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This post is written as a result of finding the following exchange on one of the R mailing lists:Is-there-a-way-to-export-regression-output-to-an-excel-spreadsheetQuestion: Is there a way to export regression output to an excel spreadsheet?Translation:...

## Gaussian Processes with RStan

August 19, 2013
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Email Previously I looked at how to simulate Gaussian processes in R, following the methods in Rasmussen and Williams. But now that Andrew Gelman et al. (of