3578 search results for "GIS"

Post 4: Sampling the person ability parameters

October 8, 2013
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Post 4: Sampling the person ability parameters

The previous post outlined the general strategy of writing a MH within Gibbs sampler by breaking the code into two levels: a high level shell and a series of lower-level samplers which do the actual work. This post discusses the … Continue reading →

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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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analyze the panel study of income dynamics (psid) with r

October 7, 2013
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the panel study of income dynamics (psid) is a one-trick pony.  better than anything else out there, this survey allows you to answer the question, "where are they now?"  after tracking the same nationally-representative cohort of americans (...

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Sixth Torino R net meeting and free Sweave Course

October 6, 2013
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Sixth Torino R net meeting and free Sweave Course

On 21 November 2013 – 14:00 there will be a free Sweave course and starting at 16:30 there will be the Sixth Torino R net meeting. Events will take place at Campus Luigi Einaudi, Università degli Studi di Torino. Please visit events‘ page for details and if … Continue reading →

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Post 2: Generating fake data

October 6, 2013
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Post 2: Generating fake data

In order to check that an estimation algorithm is working properly, it is useful to see if the algorithm can recover the true parameter values in one or more simulated "test" data sets. This post explains how to build such … Continue reading →

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Post 1: A Bayesian 2PL IRT model

October 4, 2013
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Post 1: A Bayesian 2PL IRT model

In this post, we define the Two-Parameter Logistic (2PL) IRT model, derive the complete conditionals that will form the basis of the sampler, and discuss our choice of prior specification. We can find the appropriate values of numerically in R … Continue reading →

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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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Tomorrow: R+Hadoop Webinar with Cloudera and Revolution Analytics

October 2, 2013
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If you haven't already registered, don't miss tomorrow's webinar presented by Cloudera's Director of Product Strategy, Jairam Ranganathan and Michele Chambers, Chief Strategy Officer at Revolution Analytics. This will be a great opportunity to learn how R and CDH (Cloudera's Hadoop distribution) work together with the forthcoming Revolution R Enterprise 7. Here's what they will be talking about: The...

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New JerseyR User Group Meeting – 22nd October 2013, Iselin NJ

October 2, 2013
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We are pleased to announce details of the next New Jersey R meeting; this is a free event open to anyone using or interested in using R. Venue:  Hilton Woodbridge, 120 Wood Avenue South, Iselin, NJ 08830 Time:     6.30 pm – 10pm Presentations (from 7pm) • Using knitr to create reports –  Adam Rich, Beazley Group • Using R...

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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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