fdaPDE 1.1-4
New features
- fdaPDE over Linear Networks domains
- smooth regression for non-gaussian space-time data (GLM model)
fdaPDE 1.1-3
New features
Optimization in spatio-temporal setting: introduced Newton method and
refactored grid code.
fdaPDE 1.1-2
New features
Iterative method for spatio-temporal regression with PDE
regularization (in this framework also two methods for the computation
of GCV Exact and Stochastic)
fdaPDE 1.1-1
New features
- Optimization methods (Newton’s methods) to find best smoothing
parameter through GCV minimization
- smooth regression for non-gaussian data (GLM model)
fdaPDE 1.1-0
New features
- smooth regression for space-time data
- density estimation
- faster search algorithm
fdaPDE 1.0-8
Bug fixes
Compilation errors with clang fixed.
fdaPDE 1.0-7
Bug fixes
Compilation error in macOS fixed.
fdaPDE 1.0-6
Bug fixes
Compilation error in solaris fixed.
fdaPDE 1.0-5
Bug fixes
gcc-ASAN problem with RTriangle fixed.
fdaPDE 1.0-1
Bug fixes
Compilation errors with clang fixed.
fdaPDE 1.0
New features
- smooth regression for manifold domains
- smooth regression with areal data
- functional smooth PCA (SF-PCA algorithm) : function FEM.FPCA
- Stochastic GCV computation has been added: parameter ‘GCVmethod’ can
be used both regression and FPCA, can be either ‘Stochastic’ or
‘Exact’.
- Kfold cross-validation is available in FPCA algorithm.
Deprecated functions and
name changes
- smooth.FEM.basis, smooth.FEM.PDE.basis and smooth.FEM.PDE.sv.basis
are deprecated, use smooth.FEM instead.
- the R-only functions (whose names began with R_) have been
deprecated, and will be removed soon.
- The usage of ‘MESH’ in classes and function names has been
deprecated, now use ‘mesh’.
- Old datasets have been removed. New datasets are provided.
- The parameter CPP_CODE has been removed.
Bug fixes
A bug in R/C++ indexes conversion in the space-varying regression has
been fixed.