Solves Henderson's MME with VanRaden G.
Examples
morie_gblup_full(x = rnorm(50), y = rnorm(50), markers = matrix(sample(0:2, 200, TRUE), 50, 4))
#> $estimate
#> [1] -2.456694e-17
#>
#> $g_hat
#> [1] -0.17858809 -0.14278764 -0.03389322 0.66054445 0.19185823 0.15726347
#> [7] 0.66054546 -0.44284104 0.44275347 0.21309953 -0.03389191 -0.65793495
#> [13] 0.05106459 0.15996227 -0.26624370 -0.44284050 -0.59023538 0.66054525
#> [19] -0.10819244 -0.22774460 -0.11089011 0.40695264 -0.73493045 -0.80532766
#> [25] -0.35788268 0.32199717 0.14270105 0.21309907 -0.76682884 0.26615997
#> [31] 0.25159921 0.12146100 -0.30204493 0.73094306 0.23036014 -0.66063038
#> [37] -0.48133909 0.25159678 -0.22774363 -0.11089240 0.44275591 0.10690133
#> [43] 0.44275259 -0.44283897 0.25159842 0.44545142 0.07230328 -0.15734776
#> [49] 0.23035777 0.15726282
#>
#> $beta
#> [1] 0.1770434 0.2167859
#>
#> $se
#> [1] 1.081721
#>
#> $y_hat
#> [1] -0.0227388137 -0.6673470137 0.3506280504 0.9588435787 0.2610071162
#> [6] 0.2922546543 0.8563050274 -0.0452163914 0.4095323115 0.6213130606
#> [11] 0.3069351904 -0.6333467466 0.1659225982 0.7361316307 -0.1231846181
#> [16] -0.5670867215 -0.7325401611 0.8225179057 0.1207151020 0.0035862770
#> [21] 0.0088298815 0.1557571903 -0.6554138440 -0.4274396047 -0.6837762995
#> [26] 0.6321326783 0.0003884412 0.3426556734 -0.8940263063 0.6211040063
#> [31] 0.3001478902 0.3899812574 -0.2984632390 0.6514851284 0.0801528012
#> [36] -0.7341791531 -0.3812232875 0.7289864206 0.0727939673 -0.0722657438
#> [41] 0.6717855092 0.0669909333 0.4864105068 -0.2316019159 1.0105082929
#> [46] 0.6722400976 0.2710804499 -0.4794566042 0.6623185580 0.6049351164
#>
#> $lambda_gblup
#> [1] 1
#>
#> $n
#> [1] 50
#>
#> $method
#> [1] "GBLUP with VanRaden G"
#>