A few weeks ago I covered an R package for efficient mixed model regression that is capable of simultaneously accounting for both population stratification and relatedness to compute unbiased estimates of standard errors and p-values for genetic associ...
1042 search results for "regression"
Videos on Data Analysis with R: Introductory, Intermediate, and Advanced Resources
If you want to learn about R through videos, there are now a large number of options.This post provides links to many of these video under the headings of:(a) What is R?(b) Introductory R, and(c) Intermediate and Advanced R.What is R?If you are evaluat...
Videos on Data Analysis with R: Introductory, Intermediate, and Advanced Resources
If you want to learn about R through videos, there are now a large number of options. This post provides links to many of these video under the headings of: (a) What is R? (b) Introductory R, and (c) Intermediate and Advanced R. What is R?If you are...
You won, but how much was luck and how much was skill?
In baseball, what are the chances the winner will win again against the same opponent the very next day?
Analysis of Covariance – Extending Simple Linear Regression
The simple linear regression model considers the relationship between two variables and in many cases more information will be available that can be used to extend the model. For example, there might be a categorical variable (sometimes known as a covariate) that can be used to divide the data set to fit a separate linear
Simple Linear Regression
One of the most frequent used techniques in statistics is linear regression where we investigate the potential relationship between a variable of interest (often called the response variable but there are many other names in use) and a set of one of more variables (known as the independent variables or some other term). Unsurprisingly there
Free Video Courses on R, Structural Equation Modelling, Causal Inference, and Regression from Uni Jena
The Department of methodology and Evaluation Research at Universität Jena has made available a set of free online video courses on data analysis.They cover topics that are particularly relevant to psychology and social science researchers, including ...
Estimating Missing Data with aregImpute() {R}
Missing Data
Soil scientists routinely sample, characterize, and summarize patterns in soil properties in space, with depth, and through time. Invariably, some samples will be lost or sufficient funds required for complete characterization can run out. In these cases the scientist is left with a data table that contains holes (so to speak) in the rows/columns that are...
GLMM using DPpackage
I was able to fit a semi-parametric Bayesian GLMM model using DPpackage. It took me many hours to sample from the posterior distribution (DPM prior):MCMC scan 1000 of 5000 (CPU time: 18950.080 s)MCMC scan 2000 of 5000 (CPU time: 22510.100 s)M...
Cherry Picking to Generalize ~ NASA Global Temperature Trends
The relatively (to this decade) cool 2008 global temperatures spurred talks of a warming pause, or even global cooling. The claim usually comes from people who cherry picked either data sets and(!)/or start and end points of the global temperature trends to back up their allegation. The blogosphere already has a lot on this: Skeptical 
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
