August 2013

Is the Tax Code the longest Title?

August 19, 2013 | Michael J Bommarito II

  Last week, I shared that Dan Katz and I had finally published a draft of our paper, Measuring the Complexity of the Law: The U.S. Code.  We’d previewed this research on Computational Legal Studies years ago.  Since then, we’ve received great… Read more › [Read more...]

Fitting psychometric functions using STAN

August 19, 2013 | Simon Barthelme

STAN is a new system for Bayesian inference, similar to BUGS and JAGS. I’ve played with it a bit and it’s quite promising, it really has the potential to make MCMC less of a pain (on simple models). I’ve written a short introduction to fitting psychometric functions ... [Read more...]

Endogenous Spatial Lags for the Linear Regression Model

August 18, 2013 | diffuseprior

Over the past number of years, I have noted that spatial econometric methods have been gaining popularity. This is a welcome trend in my opinion, as the spatial structure of data is something that should be explicitly included in the empirical modelling procedure. Omitting spatial effects assumes that the location ... [Read more...]

Fitting a Model by Maximum Likelihood

August 18, 2013 | andrew

Maximum-Likelihood Estimation (MLE) is a statistical technique for estimating model parameters. It basically sets out to answer the question: what model parameters are most likely to characterise a given set of data? First you need to select a model for the data. And the model must have one or more (... [Read more...]

Exercise in REML/Mixed model

August 18, 2013 | Wingfeet

I want to build a bit more experience in REML, so I decided to redo some of the SAS examples in R. This post describes the results of example 59.1 (page 5001, SAS(R)/STAT User guide 12.3 link). Following the list from freshbiostats I will analyze ... [Read more...]

Clarifying vague interactions

August 18, 2013 | Maxwell B. Joseph

For some reason, authors occasionally present linear model results with vague or unintelligible interaction effects. One way to be vague when presenting interaction effects is to provide only a table of model coefficients, including no information on the range of covariate values observed, and no plots to aid in interpretation. ... [Read more...]

Mapping Australian electoral divisions with ggplot2

August 18, 2013 | tcamm

I’ve seen some creative visualisations of issues surrounding the Australian election recently though not as many maps as I expected. ‘ggplot2′ is the go-to package for plotting in R so I thought I’d see if I could plot the Australian electoral divisions with ggplot2. By using the Australian ... [Read more...]

Negative Payments in Local Spending Data

August 17, 2013 | Tony Hirst

In anticipation of a new R library from School of Data data diva @mihi_tr that will wrap the OpenSpending API and providing access to OpenSpending.org data directly from within R, I thought I’d start doodling around some ideas raised in Identifying Pieces in the Spending Data Jigsaw. ... [Read more...]

Working with climate data from the web in R

August 17, 2013 | Recology - R

I recently attended ScienceOnline Climate, a conference in Washington, D.C. at AAAS. You may have heard of the ScienceOnline annual meeting in North Carolina - this was one of their topical meetings focused on Climate Change. I moderated a session on working with data from the web in R, ... [Read more...]

Equivocal Zones

August 16, 2013 | Max Kuhn

In Chapter 11, equivocal zones were briefly discussed. The idea is that some classification errors are close to the probability boundary (i.e. 50% for two class outcomes). If this is the case, we can create a zone where we the samples are predicted as "equivocal" or "indeterminate" instead of one of ... [Read more...]
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