The lower bound to be used for column and row dimensions respectively default calculated as the minimum value for each dimension.Ī list of length 2. See SAP for more details.Ī list of length 2.
Default set to 1, which implies that nested basis are not used. In this case, the nested B-spline basis will be constructed assuming a total of nsegments/ nestorder segments. Numerical vector of length 2 containing the divisor of the number of segments ( nsegments) to be used for the construction of the nested B-spline basis for the smooth-by-smooth interaction component. Currently, only second order penalties are allowed. Atomic values are also valid, being recycled. Numerical vector of length 2 containing the penalty order for each marginal. Numerical vector of length 2 containing the order of the polynomial of the B-spline basis for each marginal. Numerical vector of length 2 containing the number of segments for each marginal (strictly nsegments - 1 is the number of internal knots in the domain of the covariate). Vector of indication variable where heterogeneous variance is required (e.g., a different spl2D for each field).Ĭharacter vector with the names of the leves for the at term that should be used, if missing all levels are used. range or column) to use in the 2 dimensional spline. Vector of coordinates on the y-axis direction (i.e.
Vector of coordinates on the x-axis direction (i.e. Minbound=NULL, maxbound=NULL, method="Lee", what="bits") If you're using this function for your research please cite her TPSbits package :) this is mostly a wrapper of her tpsmmb function to enable the use in sommer. We thank Sue Welham for making the TPSbits package available to the community. spl2Db gets Tensor-Product P-Spline Mixed Model Incidence Matricesįor use with sommer and its main function mmer. Two-dimensional penalised tensor-product of marginal B-Spline basis.Īuxiliary function used for modelling the spatial or environmental effect as a two-dimensional penalised tensor-product (isotropic approach) based on Lee et al.
0 kommentar(er)
