790 search results for "Binary"

Fitting Bayesian Linear Mixed Models for continuous and binary data using Stan: A quick tutorial

March 27, 2017
By

I want to give a quick tutorial on fitting Linear Mixed Models (hierarchical models) with a full variance-covariance matrix for random effects (what Barr et al 2013 call a maximal model) using Stan. For a longer version of this tutorial, see: Sorensen, Hohenstein, Vasishth, 2016. Prerequisites: You need to have R and preferably RStudio installed;...

Read more »

Heuristica: An R package for testing models of binary choice

August 2, 2016
By
Heuristica: An R package for testing models of binary choice

It just got a lot easier to simulate the performance of simple heuristics. The post Heuristica: An R package for testing models of binary choice appeared first on Decision Science News.

Read more »

Interactive Performance Evaluation of Binary Classifiers

March 19, 2016
By
Interactive Performance Evaluation of Binary Classifiers

Through this post I would like to describe a package that I recently developed and published on CRAN. The package titled IMP (Interactive Model Performance) enables interactive performance evaluation & comparison of (binary) classification models. There are a variety of different techniques available to assess model fit and to evaluate the performance of binary classifiers. Related Post

Read more »

x13binary 0.1.2

March 14, 2016
By

A new version of x13binary is now on CRAN. It updates the underlying X-13ARIMA-SEATS binary to build 1.1.26 which was released recently by the US Census Bureau. Our x13binary package takes the pain out of installing this, and provides it to the seaso...

Read more »

Like peanut butter and jelly: x13binary and seasonal

February 2, 2016
By
Like peanut butter and jelly: x13binary and seasonal

This post was written by Dirk Eddelbuettel and Christoph Sax and posted by both author’s respective blogs. The seasonal package by Christoph Sax brings a very featureful and expressive interface for working with seasonal data to the R environment. It uses the standard tool of the trade: X-13ARIMA-SEATS. This powerful program is provided by the

Read more »

<h2 id=”like-peanut-butter-and-jelly-x13binary-and-seasonal”>Like peanut butter and jelly: x13binary and seasonal</h2>

February 2, 2016
By
<h2 id=”like-peanut-butter-and-jelly-x13binary-and-seasonal”>Like peanut butter and jelly: x13binary and seasonal</h2>

This post was written by Dirk Eddelbuettel and Christoph Sax and will be posted on both author's respective blogs. The seasonal package by Christoph Sax brings a very featureful and expressive interface for working with seasonal data to the R environment. It uses the standard tool of the trade: X-13ARIMA-SEATS. This powerful program is...

Read more »

Catalan numbers for triangulations gambler’s ruin binary…

July 27, 2015
By
Catalan numbers for
triangulations
gambler’s ruin
binary…

Catalan numbers for triangulations gambler’s ruin binary trees trees …from the Flajolet/Sedgewick coursera analysis of algorithms in R: catalan % unlist %>% sum } (This is slow above catalan(10) though, so

Read more »

Vector Search vs. Binary Search

October 1, 2014
By
Vector Search vs. Binary Search

Read more »

Incidental Parameters Problem with Binary Response Data and Unobserved Individual Effects

December 5, 2013
By
Incidental Parameters Problem with Binary Response Data and Unobserved Individual Effects

It is a well known problem that in some models as the number of observations becomes large, econometric estimators fail to converge on consistent estimators.  The leading case of this is when estimating a binary response model with panel data with...

Read more »

Direction of Change Forecasting using a Dynamic Binary Model

September 12, 2013
By
Direction of Change Forecasting using a Dynamic Binary Model

While it is generally accepted that the returns of financial assets are almost impossible to forecast with any degree of accuracy which would provide meaningful profit1 , there is evidence that the sign of the returns is much more forecastable. Theoretically, Christoffersen and Diebold (2006) have shown how the forecastability of the sign is related

Read more »

Sponsors

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)