Mixed Model Academy

Mixed Model Academy (MMA) provides a free user-friendly community and code generator for ANOVA and mixed models. Sign up for FREE!
#statistics #bigdata

[Mixed Model Academy @MixedModelACAD]

Mixed Model Academy (MMA) provides a free user-friendly community and code generator for ANOVA and mixed models. Sign up for FREE! #Statistics #Data

[Genstat @Genstat]

To celebrate the release of Genstat 21st Edition we are offering a 21% discount off any of our Genstat e-learning courses in Feb, such as Intermediate Statistical Data Analysis with Genstat

Quote code 👉GENSTAT21👈 at checkout to receive your discount!

https://t.co/1W5HCgi7V8

[ASReml @ASreml]

For those who have been asking here is the link to Calculating Random Effect Estimates with ASReml-R article, interestingly one of our most popular posts from 2020!
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Learn more: https://t.co/NPxjfnvN8a
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#ASReml-R #randomeffects #mixedmodels #accuracy #reliability

[ASReml @ASreml]

Random coefficient regression in #ASReml-R and when to use it.

Learn more: https://t.co/veWxGeF61o

#RandomRegression #statistical #software #RandomEffects

[Mixed Model Academy @MixedModelACAD]

You can learn more about mixed model analysis for multi-centre trials on MMA blog here: https://t.co/n7CJLoLqDJ

[ASReml @ASreml]

Mixed models are fitted using a method known as residual maximum likelihood (REML). The ASReml-R4 package is specially designed for fitting mixed models using REML.
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Watch how to create and fit a mixed effects model in ASReml-R4: https://t.co/MSy0j37RXU

[Mixed Model Academy @MixedModelACAD]

็Happy birthday to Mixed Model Academy

#ANOVA #MixedModel

[ASReml @ASreml]

Random coefficient regression can be used when we want to explore the relationship between a response variable (y) and a continuous explanatory variable (x) and we have repeated measurements of x and y on individual subjects.
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Watch and get data set here: https://t.co/t7yNHcCu5M

[Mixed Model Academy @MixedModelACAD]

Paired data is a special case of a randomized block design in which there are only two treatment conditions and subjects can be grouped into homogenous pairs prior to treatment.

Learn more on Analysis of Paired Data blog: https://t.co/5IKt5RFe2l

#RBD #DataAnalytics

[R-bloggers @Rbloggers]

Clustering Music Genres with R {https://t.co/j98Lbjv4VX} #rstats #DataScience

[ASReml @ASreml]

How #ASReml can increase profit in modern dairy cow production? That’s interesting article for #animal breeders.
Learn more: https://t.co/WxVQrhHvXW

[ASReml @ASreml]

ASReml R E-learning

COMING SOON!

#ASReml #ASRemlR #eLearning #Statistics

[ASReml @ASreml]

Single record animal model in ASReml-Standalone version

Learn more: https://t.co/12oKmQPPII

#ASReml #animal

[David Duvenaud @DavidDuvenaud]

We just open-sourced differentiable SDE solvers in PyTorch:
https://t.co/v1f08mjgCq
Now you can put stochastic differential equations in your deep learning models, and neural nets in your SDEs! Credit to @lxuechen.

[Mixed Model Academy @MixedModelACAD]

Mixed models for clustered longitudinal data

Please check the MMA project “Dental Veneer” for more information on this data set and its analysis: https://t.co/ICtNgkewe8

#LongitudinalData #Dental #Analysis #MixedModel

[Mixed Model Academy @MixedModelACAD]

Mixed models for repeated measures

In a longitudinal data design, subjects are usually measured more than once over time. When the measurements are made at a fixed time point, time may be considered as a fixed-effects factor.

Learn more: https://t.co/YFtlW5fii5

#DataAnalysis

[R-bloggers @Rbloggers]

Spatial regression in R part 2: INLA {https://t.co/QoFI8f9lKb} #rstats #DataScience

[Mixed Model Academy @MixedModelACAD]

Random Coefficients Models for Longitudinal Data

Please check the MMA project “Autism” for more information on this data set and its analysis: https://t.co/3Jt0A0mlwo

#MixedModel #LongitudinalData #RandomCoefficientsModels

[DeepAI @DeepAI]

Read about Linear Mixed Model https://t.co/LI0mxo09Tz #LinearRegression #LinearMixedModel

[ASReml @ASreml]

A “predict.asreml () ” function in ASReml-R

Learn more: https://t.co/yM2QmJ9Eyd

#ASReml #Function

[Meryl Theng @uberhyped]

R package DHARMa allows checking residuals from mixed, hierarchical models. You can even test for zero-inflation, spatial/temporal autocorrelation, and more! #isec2020

[Mixed Model Academy @MixedModelACAD]

Random Coefficients Models for Longitudinal Data

Please check the MMA project “Sleep Study” for more information on this data set and its analysis: https://t.co/7zk8AHdN1I

#MixedModel #ASReml #SAS #nlme #SleepStudy
#LongitudinalData