cocons 0.1.3
- Vignette updates, watermark removed
- Documentation polished
- New
holes_bm
dataset with independent realizations and
spatial trend
Enhances
- added a NEWS.md file with version updates / modifications / enhances
/ etc
- automatized
delta
for method plot
for coco
class.
- Better visualization for
plot(cocoOptim object, type = "ellipse")
coco
:
- now it is not necessary to provide all models for each source of
nonstationarity. Those not specified will be set to those referenced
with a stationary 0-mean model (i.e. tilt = 0 , aniso = 0, nugget = -Inf
(because of log-parameterization)). If ‘smooth’ is not specified, then
it is set to 0.5.
cocoOptim
:
- “auto” option for
ncores
argument for
cocoOptim
, providing a convenient number of threads based
on the number of parameters to estimate, available threads, and settings
of the LBFGSB routine
- “safe” argument, which prevents crashes due to ill-posed covariance
matrices (Choelsky factorization error)
.cocons.check.convergence
now checks and reports at
which iteration ill-posed covariance matrices have been found during the
optimization.
- now “pmle” works with multiple independent realizations for coco
types
dense
and sparse
- safer parallel handling
getHessian
more memory efficient
cocoSim
:
- if provided a fitted coco object, then
pars
argument
can be NULL
(default), and
coco.object@output$par
is used instead (and also
type
is set to diff
).
- more memory efficient
- safer parallel handling for
getHessian
- polishing of neg2loglikelihood functions, leading to more efficient
code
- new and more polished internal functions to assess the validity of
arguments (
stopifnot()
instead of
if() stop()
)
getCondNumber
optimized
- small improvement over cpp functions
Changes
- switched
getPen
as an internal function
- method
plot
for coco
objects shows
rotation angle of the kernel w.r.t x-axis
GetSpateffects
now provides angle w.r.t to x-axis
- method “summary” for
coco
objecets (former “print”
method)
- more proper naming of objects inside functions
- renaming of “cat.vars” to “skip.scale” + associated checks and
optimization
getCondNumber
removed, which can be replaced with
kappa
function from base R
(i.e. kappa(getCovMatrix(coco.object),exact = TRUE)
)
cocons 0.1.2
- improve overall help files
- add examples for
coco
, cocoOptim
,
cocoPredict
, and cocoSim
- update Vignette
- some bug fixes and overall code polishing
smooth_limits
from info
from the coco
function is now called smooth.limits
to match the style of
other arguments (no backward compatibility)
- new names for C++ sparse covariance functions
- add warnings of non-convergence of the LBFGSB for
cocoOptim
- bug fixes for coco “methods”
- less redundant code