From 0b516c210bac999e91ad565c055a05efcdc35e5b Mon Sep 17 00:00:00 2001 From: ljacquin Date: Sun, 21 Apr 2024 22:21:01 +0200 Subject: [PATCH] update: modify description --- DESCRIPTION | 2 +- NAMESPACE | 1 + 2 files changed, 2 insertions(+), 1 deletion(-) diff --git a/DESCRIPTION b/DESCRIPTION index 4de59eb..5c16408 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -7,7 +7,7 @@ Author: Laval Jacquin [aut, cre] Maintainer: Laval Jacquin 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. . Depends: R (>= 3.3.0) -Imports: stats,MASS,kernlab,cvTools,robustbase,foreach,doParallel,Matrix +Imports: stats,MASS,kernlab,cvTools,robustbase,foreach,parallel,doParallel,Matrix License: GPL-2 | GPL-3 Encoding: UTF-8 LazyData: true diff --git a/NAMESPACE b/NAMESPACE index 2750490..0664485 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -5,6 +5,7 @@ import(kernlab) import(cvTools) import(robustbase) import(foreach) +import(parallel) import(doParallel) import(Matrix)