Description
Solves kernel ridge regression, within the the mixed model framework, for the linear, polynomial, Gaussian, Laplacian and ANOVA kernels. The model components (i.e. fixed and random effects) and variance parameters are estimated using the expectation-maximization (EM) algorithm. All the estimated components and parameters, e.g. BLUP of dual variables and BLUP of random predictor effects for the linear kernel (also known as RR-BLUP), are available. The kernel ridge mixed model (KRMM) is described in Jacquin L, Cao T-V and Ahmadi N (2016) A Unified and Comprehensible View of Parametric and Kernel Methods for Genomic Prediction with Application to Rice. Front. Genet. 7:145. <doi:10.3389/fgene.2016.00145>.
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| r-devel-linux-x86_64-debian-clang | NOTE |
| r-devel-linux-x86_64-debian-gcc | NOTE |
| r-devel-linux-x86_64-fedora-clang | NOTE |
| r-devel-linux-x86_64-fedora-gcc | NOTE |
| r-devel-macos-arm64 | NOTE |
| r-devel-windows-x86_64 | NOTE |
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| r-release-macos-x86_64 | NOTE |
| r-release-windows-x86_64 | NOTE |
Check details (17 non-OK)
Rd files
checkRd: (-1) Predict_kernel_Ridge_MM.Rd:45: Lost braces; missing escapes or markup?
45 | and alpha_train is the BLUP of alpha for the model, i.e. alpha_train=Cov(alpha,Y_train)*Var(Y_train)^{-1}*(Y_train - E[Y_train]) }
| ^
Rd files
checkRd: (-1) Predict_kernel_Ridge_MM.Rd:45: Lost braces; missing escapes or markup?
45 | and alpha_train is the BLUP of alpha for the model, i.e. alpha_train=Cov(alpha,Y_train)*Var(Y_train)^{-1}*(Y_train - E[Y_train]) }
| ^
Rd files
checkRd: (-1) Predict_kernel_Ridge_MM.Rd:45: Lost braces; missing escapes or markup?
45 | and alpha_train is the BLUP of alpha for the model, i.e. alpha_train=Cov(alpha,Y_train)*Var(Y_train)^{-1}*(Y_train - E[Y_train]) }
| ^
Rd files
checkRd: (-1) Predict_kernel_Ridge_MM.Rd:45: Lost braces; missing escapes or markup?
45 | and alpha_train is the BLUP of alpha for the model, i.e. alpha_train=Cov(alpha,Y_train)*Var(Y_train)^{-1}*(Y_train - E[Y_train]) }
| ^
Rd files
checkRd: (-1) Predict_kernel_Ridge_MM.Rd:45: Lost braces; missing escapes or markup?
45 | and alpha_train is the BLUP of alpha for the model, i.e. alpha_train=Cov(alpha,Y_train)*Var(Y_train)^{-1}*(Y_train - E[Y_train]) }
| ^
Rd files
checkRd: (-1) Predict_kernel_Ridge_MM.Rd:45: Lost braces; missing escapes or markup?
45 | and alpha_train is the BLUP of alpha for the model, i.e. alpha_train=Cov(alpha,Y_train)*Var(Y_train)^{-1}*(Y_train - E[Y_train]) }
| ^
LazyData
'LazyData' is specified without a 'data' directory
Rd files
checkRd: (-1) Predict_kernel_Ridge_MM.Rd:45: Lost braces; missing escapes or markup?
45 | and alpha_train is the BLUP of alpha for the model, i.e. alpha_train=Cov(alpha,Y_train)*Var(Y_train)^{-1}*(Y_train - E[Y_train]) }
| ^
LazyData
'LazyData' is specified without a 'data' directory
Rd files
checkRd: (-1) Predict_kernel_Ridge_MM.Rd:45: Lost braces; missing escapes or markup?
45 | and alpha_train is the BLUP of alpha for the model, i.e. alpha_train=Cov(alpha,Y_train)*Var(Y_train)^{-1}*(Y_train - E[Y_train]) }
| ^
LazyData
'LazyData' is specified without a 'data' directory
Rd files
checkRd: (-1) Predict_kernel_Ridge_MM.Rd:45: Lost braces; missing escapes or markup?
45 | and alpha_train is the BLUP of alpha for the model, i.e. alpha_train=Cov(alpha,Y_train)*Var(Y_train)^{-1}*(Y_train - E[Y_train]) }
| ^
Rd files
checkRd: (-1) Predict_kernel_Ridge_MM.Rd:45: Lost braces; missing escapes or markup?
45 | and alpha_train is the BLUP of alpha for the model, i.e. alpha_train=Cov(alpha,Y_train)*Var(Y_train)^{-1}*(Y_train - E[Y_train]) }
| ^
Rd files
checkRd: (-1) Predict_kernel_Ridge_MM.Rd:45: Lost braces; missing escapes or markup?
45 | and alpha_train is the BLUP of alpha for the model, i.e. alpha_train=Cov(alpha,Y_train)*Var(Y_train)^{-1}*(Y_train - E[Y_train]) }
| ^
Rd files
checkRd: (-1) Predict_kernel_Ridge_MM.Rd:45: Lost braces; missing escapes or markup?
45 | and alpha_train is the BLUP of alpha for the model, i.e. alpha_train=Cov(alpha,Y_train)*Var(Y_train)^{-1}*(Y_train - E[Y_train]) }
| ^
Rd files
checkRd: (-1) Predict_kernel_Ridge_MM.Rd:45: Lost braces; missing escapes or markup?
45 | and alpha_train is the BLUP of alpha for the model, i.e. alpha_train=Cov(alpha,Y_train)*Var(Y_train)^{-1}*(Y_train - E[Y_train]) }
| ^
Rd files
checkRd: (-1) Predict_kernel_Ridge_MM.Rd:45: Lost braces; missing escapes or markup?
45 | and alpha_train is the BLUP of alpha for the model, i.e. alpha_train=Cov(alpha,Y_train)*Var(Y_train)^{-1}*(Y_train - E[Y_train]) }
| ^
Check History
NOTE 0 OK · 14 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026
Rd files
checkRd: (-1) Predict_kernel_Ridge_MM.Rd:45: Lost braces; missing escapes or markup?
45 | and alpha_train is the BLUP of alpha for the model, i.e. alpha_train=Cov(alpha,Y_train)*Var(Y_train)^{-1}*(Y_train - E[Y_train]) }
| ^
Rd files
checkRd: (-1) Predict_kernel_Ridge_MM.Rd:45: Lost braces; missing escapes or markup?
45 | and alpha_train is the BLUP of alpha for the model, i.e. alpha_train=Cov(alpha,Y_train)*Var(Y_train)^{-1}*(Y_train - E[Y_train]) }
| ^
Rd files
checkRd: (-1) Predict_kernel_Ridge_MM.Rd:45: Lost braces; missing escapes or markup?
45 | and alpha_train is the BLUP of alpha for the model, i.e. alpha_train=Cov(alpha,Y_train)*Var(Y_train)^{-1}*(Y_train - E[Y_train]) }
| ^
Rd files
checkRd: (-1) Predict_kernel_Ridge_MM.Rd:45: Lost braces; missing escapes or markup?
45 | and alpha_train is the BLUP of alpha for the model, i.e. alpha_train=Cov(alpha,Y_train)*Var(Y_train)^{-1}*(Y_train - E[Y_train]) }
| ^
Rd files
checkRd: (-1) Predict_kernel_Ridge_MM.Rd:45: Lost braces; missing escapes or markup?
45 | and alpha_train is the BLUP of alpha for the model, i.e. alpha_train=Cov(alpha,Y_train)*Var(Y_train)^{-1}*(Y_train - E[Y_train]) }
| ^
Rd files
checkRd: (-1) Predict_kernel_Ridge_MM.Rd:45: Lost braces; missing escapes or markup?
45 | and alpha_train is the BLUP of alpha for the model, i.e. alpha_train=Cov(alpha,Y_train)*Var(Y_train)^{-1}*(Y_train - E[Y_train]) }
| ^
Rd files
checkRd: (-1) Predict_kernel_Ridge_MM.Rd:45: Lost braces; missing escapes or markup?
45 | and alpha_train is the BLUP of alpha for the model, i.e. alpha_train=Cov(alpha,Y_train)*Var(Y_train)^{-1}*(Y_train - E[Y_train]) }
| ^
Rd files
checkRd: (-1) Predict_kernel_Ridge_MM.Rd:45: Lost braces; missing escapes or markup?
45 | and alpha_train is the BLUP of alpha for the model, i.e. alpha_train=Cov(alpha,Y_train)*Var(Y_train)^{-1}*(Y_train - E[Y_train]) }
| ^
Rd files
checkRd: (-1) Predict_kernel_Ridge_MM.Rd:45: Lost braces; missing escapes or markup?
45 | and alpha_train is the BLUP of alpha for the model, i.e. alpha_train=Cov(alpha,Y_train)*Var(Y_train)^{-1}*(Y_train - E[Y_train]) }
| ^
Rd files
checkRd: (-1) Predict_kernel_Ridge_MM.Rd:45: Lost braces; missing escapes or markup?
45 | and alpha_train is the BLUP of alpha for the model, i.e. alpha_train=Cov(alpha,Y_train)*Var(Y_train)^{-1}*(Y_train - E[Y_train]) }
| ^
Rd files
checkRd: (-1) Predict_kernel_Ridge_MM.Rd:45: Lost braces; missing escapes or markup?
45 | and alpha_train is the BLUP of alpha for the model, i.e. alpha_train=Cov(alpha,Y_train)*Var(Y_train)^{-1}*(Y_train - E[Y_train]) }
| ^
Rd files
checkRd: (-1) Predict_kernel_Ridge_MM.Rd:45: Lost braces; missing escapes or markup?
45 | and alpha_train is the BLUP of alpha for the model, i.e. alpha_train=Cov(alpha,Y_train)*Var(Y_train)^{-1}*(Y_train - E[Y_train]) }
| ^
Rd files
checkRd: (-1) Predict_kernel_Ridge_MM.Rd:45: Lost braces; missing escapes or markup?
45 | and alpha_train is the BLUP of alpha for the model, i.e. alpha_train=Cov(alpha,Y_train)*Var(Y_train)^{-1}*(Y_train - E[Y_train]) }
| ^
Rd files
checkRd: (-1) Predict_kernel_Ridge_MM.Rd:45: Lost braces; missing escapes or markup?
45 | and alpha_train is the BLUP of alpha for the model, i.e. alpha_train=Cov(alpha,Y_train)*Var(Y_train)^{-1}*(Y_train - E[Y_train]) }
| ^