2328 search results for "Time series"

SAS PROC MCMC example in R: Logistic Regression Random-Effects Model

January 18, 2015
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In this post I will run SAS example Logistic Regression Random-Effects Model in four R based solutions; Jags, STAN, MCMCpack and LaplacesDemon. To quote the SAS manual: 'The data are taken from Crowder (1978). The Seeds data set is a 2 x 2 fa...

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Predictive analysis in eCommerce part-3

January 13, 2015
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Welcome to the third part of series posts. In previous post, I discussed about the data points which we require to perform predictive analysis. In this post I will discuss about the solution approach along with required methodology and its implementation in R. Before we move ahead in this part, let us recall the prediction The post Predictive...

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Extended Kalman filter example in R

January 13, 2015
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Extended Kalman filter example in R

Last week's post about the Kalman filter focused on the derivation of the algorithm. Today I will continue with the extended Kalman filter (EKF) that can deal also with nonlinearities. According to Wikipedia the EKF has been considered the de facto standard in the theory of nonlinear state estimation, navigation systems and GPS.Kalman filterI had the following...

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Interactive visualizations with R – a minireview

January 9, 2015
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2015-01-10 00_34_37-Clipboard

Interactive visualization allows deeper exploration of data than static plots. Javascript libraries such as d3 have made possible wonderful new ways to show data. Luckily the R community has been active in developing R interfaces to some popular javascript libraries to enable R users to create interactive visualizations without knowing any javascript. In this post I have reviewed...

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Adding a Risk-Free Rate To Your Analyses

January 9, 2015
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Adding a Risk-Free Rate To Your Analyses

First off, before beginning this post, I’d like to make my readers aware of the release of a book that … Continue reading →

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New R Package: metricsgraphics

January 8, 2015
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2015-01-09 20_12_42-Clipboard

Mozilla released the MetricsGraphics.js library back in November of 2014 (gh repo) and was greeted with great fanfare. It’s primary focus is on crisp, clean layouts for interactive time-series data, but they have support for other chart types as well (though said support is far from comprehensive). I had been pondering building an R package

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Testing, testing, testing!

January 8, 2015
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Testing, testing, testing!

R testthat unit tests with GitHub, Travis-CI continuous integration and the covr package for Coveralls code coverage. I’ve been working pretty hard on getting the ggRandomForests package wrapped up so I can work on some other projects that have as… Continue reading →

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Testing, testing, testing!

January 8, 2015
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Testing, testing, testing!

R testthat unit tests with GitHub, Travis-CI continuous integration and the covr package for Coveralls code coverage. I’ve been working pretty hard on getting the ggRandomForests package wrapped up so I can work on some other projects that have as… Continue reading →

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Probable Points and Credible Intervals, Part 2: Decision Theory

January 7, 2015
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Probable Points and Credible Intervals, Part 2: Decision Theory

“Behind every great point estimate stands a minimized loss function.” – Me, just now This is a continuation of Probable Points and Credible Intervals, a series of posts on Bayesian point and interval estimates. In Part 1 we looked at these estimates as graphical summaries, useful when it’s difficult to plot the whole posterior in good way....

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GPU programming in R: the gmatrix package provides a way forward

January 5, 2015
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R has featured packages to support GPU programming for over five years. Beginning with the Gputools package, developers continue to introduce new and more sophisticated tools to take advantage of these powerful coprocessors. The gmatrix package is a recent continuation of this trend which offers some significant new features. Background GPUs, or graphical processing units, are the numerical engines powering the visual display of modern computers....

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