Comments (2)
Konrad, thanks a lot for the feedback. I will work on the documentation. Indeed, can be misleading. Currently, the current behavior is that P3D=TRUE, of course P3D=FALSE would be estimating one marker at the time. The reason why is not enabled is more due to the way currently I am using the Rcpp code. The current Rcpp implementation for P3D=TRUE fits the emmer model, extracts the VCs and does the for loop for each marker in Rcpp. I just haven't had the time to code the for loop for P3D=FALSE. Mostly for having other priorities (the mmec() function and rebuilding mmer()) but feel free to code it and send a pull request :) otherwise I may do it in this quarter.
The coding part is a great suggestion, I should rewrite the documentation. I'll do that right away. Thanks.
Cheers,
Eduardo
from sommer.
P3D enabled and pushed to GitHub, to be tested now.
Cheers,
Eduardo
from sommer.
Related Issues (20)
- GL(M)M's as a future target? HOT 4
- more structure covariance structures? HOT 2
- Query regarding MEMMA output HOT 1
- Error in mmer(y = y, Z = ETA, method = "EMMA") : unused arguments (y = y, Z = ETA) HOT 1
- Suppress "fixed-effect model matrix is rank deficient so dropping 1 columns / coefficients" HOT 2
- Error in `contrasts<-`(`*tmp*`, value = contr.funs[1 + isOF[nn]]) : contrasts can be applied only to factors with 2 or more levels HOT 2
- predict function when spl2D is used HOT 4
- predict() error in cross-validation HOT 6
- Facing error at the stage of A.mat HOT 3
- Can't get mmec to run HOT 4
- mmec using weights (W) HOT 5
- mmer fails when number of observations > 2^15 HOT 4
- Poisson and Negative Bionomial Distributed Traits HOT 2
- how to add permanent environmental effect in random regression model ? HOT 1
- Throw error for singular system HOT 6
- Predict.mmec function issue HOT 1
- Different varcomp estimates between sommer and ASReml-R when it is bounded HOT 1
- multivariate model specification with different fixed effects per trait HOT 1
- Possible mix up between VanRaden and Endleman GRMs HOT 1
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from sommer.