1) Inference in space and space-time model (Gaussian family, no forcing terms): In space model inference is available for both parametric and nonparametric components; In space-time model inference only on the parametric component has been implemented.
1) fdaPDE over Linear Networks domains 2) smooth regression for non-gaussian space-time data (GLM model)
Optimization in spatio-temporal setting: introduced Newton method and refactored grid code.
Iterative method for spatio-temporal regression with PDE regularization (in this framework also two methods for the computation of GCV Exact and Stochastic)
1) Optimization methods (Newton's methods) to find best smoothing parameter through GCV minimization 2) smooth regression for non-gaussian data (GLM model)
1) smooth regression for space-time data 2) density estimation 3) faster search algorithm
Compilation errors with clang fixed.
Compilation error in macOS fixed.
Compilation error in solaris fixed.
gcc-ASAN problem with RTriangle fixed.
Compilation errors with clang fixed.
1) smooth regression for manifold domains 2) smooth regression with areal data 3) functional smooth PCA (SF-PCA algorithm) : function FEM.FPCA 4) Stochastic GCV computation has been added: parameter 'GCVmethod' can be used both regression and FPCA, can be either 'Stochastic' or 'Exact'. 5) Kfold cross-validation is available in FPCA algorithm.
1) smooth.FEM.basis, smooth.FEM.PDE.basis and smooth.FEM.PDE.sv.basis are deprecated, use smooth.FEM instead. 2) the R-only functions (whose names began with R_) have been deprecated, and will be removed soon. 2) The usage of 'MESH' in classes and function names has been deprecated, now use 'mesh'. 3) Old datasets have been removed. New datasets are provided. 4) The parameter CPP_CODE has been removed.
A bug in R/C++ indexes conversion in the space-varying regression has been fixed.
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