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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.

References

Martin P. Boer (2023). Tensor product P-splines using a sparse mixed model formulation, Statistical Modelling, 23, p. 465 - 479. doi:10.1177/1471082X231178591

Author

Martin Boer martin.boer@wur.nl

Bart-Jan van Rossum bart-jan.vanrossum@wur.nl (maintainer)