2067 search results for "Regression"

Influence.ME now supports sampling weights

December 18, 2014
By

Influence.ME is an R package that helps detecting influential cases in multilevel regression models. It has been around for a while now, and recent changes in lme4 broke the functionality of using influence.ME with sampling weights. Thanks to a kind contribution of some code by user Jennifer Bufford, influence.ME now should work with multilevel models… Continue Reading

Read more »

Joint Models with Categorical Longitudinal Outcomes

December 17, 2014
By

Extending the Standard Joint Model In a previous post we have briefly introduced the framework of joint models for longitudinal and time-to-event data, and we have shown how models of this type can be fitted in R using package JMbayes. In that post we ...

Read more »

Notes from the Kölner R meeting, 12 December 2014

December 16, 2014
By
Notes from the Kölner R meeting, 12 December 2014

Last week's Cologne R user group meeting was the best attended so far, and it was a remarkable event - I believe not a single line of R code was shown. Still, it was an R user group meeting with two excellent talks, and you will understand shortly why not much R code needed to be displayed.Introduction to Julia...

Read more »

Are high-reputation users quitting Stack Overflow?

December 14, 2014
By
Are high-reputation users quitting Stack Overflow?

I spend a good amount of time on the programming Q+A site StackOverflow (and a smaller amount of time on its statistics sister site, Cross Validated). Recently this question on Meta Stack Overflow (the website’s discussion forum) caught my attention, raising the question of whether Stack Overflow had become “more negative” recently. It wasn’t the first...

Read more »

Analyzing Ponemon Cost of Data Breach

December 11, 2014
By
Analyzing Ponemon Cost of Data Breach

I was recently presenting on the use of statistics for risk analysis at the SIRACon conference held in Minneapolos (Oct. 9th and 10th, 2014). I was explaining how models and algorithms work at a high level: given one or more observations and the outcomes, we build models or algorithms to learn how the observations can help predict the outcome. As examples I used things...

Read more »

CLassification Options for Titanic Competition

December 10, 2014
By

Logistic RegressionNeural NetsNaive BayesDecision Trees

Read more »

Comparing the Bootstrap and Cross-Validation

December 8, 2014
By
Comparing the Bootstrap and Cross-Validation

This is the second of two posts about the performance characteristics of resampling methods. The first post focused on the cross-validation techniques and this post mostly concerns the bootstrap. Recall from the last post: we have some simulations to evaluate the precision and bias of these methods. I simulated some regression data (so that I know the real...

Read more »

The Good oL’ Titanic Kaggle Competition pt. 1

December 5, 2014
By
The Good oL’ Titanic Kaggle Competition pt. 1

After that I began playing around with logistic regression. So far, none of my attempts at logistic regression have improved my score but I have some ideas for tomorrow (already reached my submission limit for today). I do realize now that I need to have a plan with my logistic regression models, I need to determine which features have...

Read more »

A comment on preparing data for classifiers

December 4, 2014
By
A comment on preparing data for classifiers

I have been working through (with some honest appreciation) a recent article comparing many classifiers on many data sets: “Do we Need Hundreds of Classifiers to Solve Real World Classification Problems?” Manuel Fernández-Delgado, Eva Cernadas, Senén Barro, Dinani Amorim; 15(Oct):3133−3181, 2014 (which we will call “the DWN paper” in this note). This paper applies 179 Related posts:

Read more »

Comparing Different Species of Cross-Validation

December 2, 2014
By
Comparing Different Species of Cross-Validation

This is the first of two posts about the performance characteristics of resampling methods. I just had major shoulder surgery, but I've pre-seeded a few blog posts. More will come as I get better at one-handed typing. First, a review: Resampling methods, such as cross-validation (CV) and the bootstrap, can be used with predictive models to get estimates of model...

Read more »

Sponsors

Mango solutions



plotly webpage

dominolab webpage



Zero Inflated Models and Generalized Linear Mixed Models with R

Quantide: statistical consulting and training

datasociety

http://www.eoda.de





ODSC

ODSC

CRC R books series





Six Sigma Online Training









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)