Introduction of cross-validation method for evaluation and associated new input parameter amt.cv.sample that determines the amount of cross-validation samples.

Changing R version to 3.4.2

See merge request !45

Handling of case of insufficient data in CST_Calibration

See merge request !44

Dev plot forecast independent terciles, for January 2020 release

See merge request !47

CST_BEI_Weighting working with NAs

See merge request !46

CST_MergeDims function to merge two dimensions from an array

See merge request !43

Merge branch 'dev-PlotForecast-independent-terciles' of https://earth.bsc.es/gitlab/external/cstools into dev-PlotForecast-independent-terciles

1) Introduction of ncores as extra parameter. 2) Introduction of Calibration as a new function (replacement of .calibration.wrap). 3) removal of var.fc

If there is a unique forecast, extreme limits and tercile limits must be vectors. Now 1-D array is cot accepted. Observations are proven to be a vector or a numeric value.

Corrected bug in labels of tercile/extreme probabilities. Now uses first panel positions for all labels.

Handling of case of insufficient data, following the comment of Deborah Verfaillie. The function now warns (and does no calibration) when 3 or less observation-model pairs are available for training. A new parameter na.fill has been introduced.