LMMsolver: Package LMMsolver

In LMMsolver: Linear Mixed Model Solver

Package LMMsolver

Description

Linear Mixed Model Solver using sparse matrix algebra.

Details

An efficient and flexible system to solve sparse mixed model equations, for models that are often used in statistical genetics. Important applications are the use of splines to model spatial or temporal trends. Another application area is mixed model QTL analysis for multiparental populations, allowing for heterogeneous residual variance and random design matrices with Identity-By-Descent (IBD) probabilities.

Author(s)

Martin Boer [e-mail]

Bart-Jan van Rossum [e-mail] (maintainer)

References

Martin P. Boer (2023). Tensor product P-splines using a sparse mixed model formulation, Statistical Modelling, 23, p. 465 - 479. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1177/1471082X231178591")}

See Also

Useful links:

• https://biometris.github.io/LMMsolver/index.html

• https://github.com/Biometris/LMMsolver/

• Report bugs at https://github.com/Biometris/LMMsolver/issues

LMMsolver documentation built on Sept. 11, 2024, 7:31 p.m.