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An Alternative For Mixed Model Analyses Of Large, Messy Data Sets (Mtdfreml), L. D. Van Vleck, R. K. Splan
An Alternative For Mixed Model Analyses Of Large, Messy Data Sets (Mtdfreml), L. D. Van Vleck, R. K. Splan
Conference on Applied Statistics in Agriculture
Portable Fortran based programs (MTDFREML) were developed using a derivative-free algorithm to obtain REML estimates of (co)variance components. Computations are based on Henderson's mixed model equations for multiple-trait models with missing observations on some traits and incorporation of relationships among relatives. Many fixed and random factors are allowed with number of levels dependent on computer memory. Data sets with more than 40,000 genetic effects have been analyzed. Options allow solving MME at convergence. Constraints are automatically imposed. Expectations, standard errors of contrasts of solutions for fixed effects and prediction error variances of solutions for random effects can be obtained. Dimensions …