2161 search results for "Regression"

How to convert odds ratios to relative risks

January 27, 2014
By
How to convert odds ratios to relative risks

My short paper on this came out on Friday in the British Medical Journal. The aim is to help both authors and readers of research make sense of this rather confusing but unavoidable statistic, the odds ratio (OR). The fundamental … Continue reading →

Read more »

New in forecast 5.0

January 26, 2014
By
New in forecast 5.0

Last week, version 5.0 of the forecast package for R was released. There are a few new functions and changes made to the package, which is why I increased the version number to 5.0. Thanks to Earo Wang for helping with this new version. Handling missing values and outliers Data cleaning is often the first step that data scientists...

Read more »

Tuning optim with parscale

January 26, 2014
By

I often get questions what is the use of parscale parameter in optim procedure in GNU R. Therefore I have decided to write a simple example showing its usage and importance. The function I test is a simplified version of estimation problem I had to sol...

Read more »

Accurate imputation and valid statistical inference with ensemble

January 25, 2014
By
Accurate imputation and valid statistical inference with ensemble

Imputation is predictive inference and not causal inference! I have met many people, who consider the two are equivalent. Their reasoning is based on the belief that if you can produce a model which replicate the data generating...

Read more »

Online class on Statistical Learning

January 24, 2014
By
Online class on Statistical Learning

Trevor Hastie and Robert Tibshirani are teaching an online class on Statistical Learning starting this week. The first week is introduction and overview, so it's not too late to join up. They've also published a new book, An Introduction to Statistical Learning, as a more accessible companion to their widely revered The Elements of Statistical...

Read more »

Rob Hyndman on Forecasting

January 24, 2014
By
Rob Hyndman on Forecasting

If you have an interest in forecasting, especially economic forecasting, the Rob Hyndman's name will be familiar to you. Hailing from my old stamping ground - Monash University - Rob is one of the world's top forecasting experts.  Without going into all of the details, Rob is very widely published, and also...

Read more »

Coursera Specializations: Data Science, Systems Biology, Python Programming

January 22, 2014
By

I first mentioned Coursera about a year ago, when I hired a new analyst in my core. This new hire came in as a very competent Python programmer with a molecular biology and microbial ecology background, but with very little experience in statistics. I got him to take Roger Peng's Computing for Data Analysis course...

Read more »

Statistical modeling and computation [book review]

January 21, 2014
By
Statistical modeling and computation [book review]

Dirk Kroese (from UQ, Brisbane) and Joshua Chen (from ANU, Canberra) just published a book entitled Statistical Modeling and Computation, distributed by Springer-Verlag (I cannot tell which series it is part of from the cover or frontpages…) The book is intended mostly for an undergrad audience (or for graduate students with no probability or statistics

Read more »

Estimating a nonlinear time series model in R

January 20, 2014
By
Estimating a nonlinear time series model in R

There are quite a few R packages available for nonlinear time series analysis, but sometimes you need to code your own models. Here is a simple example to show how it can be done. The model is a first order threshold autoregression:     where is a Gaussian white noise series with variance . The following function will generate...

Read more »

Fast-track publishing using knitr: stitching it together (part V)

January 20, 2014
By
Fast-track publishing using knitr: stitching it together (part V)

Fast-track publishing using knitr is a short series on how I use knitr to speedup publishing in my research. There has been plenty of feedback and interest for the series, and in this post I would like to provide (1) a brief summary and (2) an example showing how to put all the pieces together. [caption id="attachment_1094"...

Read more »

Sponsors

Mango solutions



RStudio homepage



Zero Inflated Models and Generalized Linear Mixed Models with R

Quantide: statistical consulting and training



http://www.eoda.de









ODSC

CRC R books series













Contact us if you wish to help support R-bloggers, and place your banner here.

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)