gmGeostats 0.11.3

(2023-04-13) batch of hidden methods exported to the namespace (mostly for as.*() functions converting between different representations of empirical variograms and of geostatistical models)
(2023-04-04) C routines called as symbols and not name strings; non-ASCII characters removed

gmGeostats 0.11.2

(2022-11-22) flag ‘-lstdc++’ removed from makevars.
(2022-11-15) minor bugs in accuracy calculations corrected. References improved.
(2022-08-15) bug in turning bands for spherical variogram corrected.

(2022-05-03) minor changes to adapt to more stringent standards for class determination, for variable definition in C code, and for calls to FORTRAN routines from C code involving string arguments.

(2021-12-14) bugs in turning bands corrected: getUnitVec was producing a wrong sequence of directions, and bands for exponential and Gaussian variograms did not correct for the difference between parametric and effective range in the right way;
(2021-12-08) anisotropy objects complete, restructured and everywhere correctly used: if class(A)=="AnisotropyScaling" and class(M)=="AnisotropyRangeMatrix" (the two possible classes), then A %*% t(A) == solve(M); with them, u = sqrt(h %*% solve(M, h)) can be used in a scalar variogram (i.e. M is a matrix of ranges and orientations), and v = t(A) %*% h an isotropic variogram (i.e. u=sqrt(sum(v^2)), and A is a scaling matrix that makes the space isotropic)
(2021-12-08) bugs corrected in gsi.EVario3D()

(2021-11-05) bugs corrected in internal 2D empirical variogram function gsi.EVario2D() . First version of 3D internal variogram function gsi.EVario3D() available. Usage of these functions is only for specialists foreseen. In the near future a user-friendlier wrapper will be provided.

(2021-10-20) section on the vignette “register_new_layer_datatype.Rmd” about the definition and registration of empirical covariance for circular data.

(2021-10-17) dependence from randomFields eliminated
(2021-10-17) consolidated management of predict() methods for S3 and S4 objects, with the help of the internal function Predict() (not recommended to use)

(2021-09-30) minor bug corrected on the way fit_lmc passes its arguments to surrogate gstat and gmGeostats functions
(2021-10-01) management of predict() methods for S3 and S4 objects, with the help of the internal function Predict() (not recommended to use)

(release of polished 0.10.8.900x dev versions) * minor correction on C source code for compatibility with clang13

(2021-07-22) conversion methods between variogram models: as.gmCgram() methods for “variogramModel” and “variogramModelList” objects (from package “gstat”)

(2021-07-15) documented abstract union classes, specifying required methods for the member classes

(release of polished 0.10.7.900x dev versions)

new vignette “How to register new layer datatypes”, with a howto adapt gmGeostats to deal with your very special data type (with an example for regionalized circular data)
(2021-07-06) new option to extract univariate accuracy() from multivariate kriging results
NEWS.md and vignettes/gmGeostats.Rmd polished
“predict”-methods for objects of class gmSpatialModel now programmed with multiple dispatching, to enable further extensions

(2020-09-27) updated references in generalised diagonalisations; improved/reimplemented as.logratioVariogram() and as.logratioVariogramAnisotropy() methods; minor edits at plot.logratioVariogramAnisotropy() and variogramModelPlot.logratioVariogram()
(2020-09-24) openMP pragmas enclosed, to improve portability
(2020-09-18) conversion of variogram models of class CompLinModCoReg -> LMCAnisCompo -> variogramModel(List)
(2020-09-18) gsi.gstatCokriging2compo() and gsi.gstatCokriging2rmult() now work with systems of 3 components resp. 2 variables (systems of 2 components or 1 variable still fail)

(2020-09-17) we are in CRAN! https://cran.r-project.org/web/packages/gmGeostats/