computeValidationStats: Compute validation statistics.
In rijaf-iri/mtorwdata: Processing AWS and RADAR data from Meteo Rwanda

A wrapper to compute continuous, categorical and volumetric statistics for validation.

computeValidationStats(
  stn_data,
  grd_data,
  validation_type = "stations",
  categorical_thres = 1,
  categorical_fun = ">=",
  volumetric_type = "percentile",
  volumetric_pars = 50
)

`stn_data, grd_data`	A named list of CDT stations data format, output from `readCDTStationFormat`. stn_data: contains the reference observations data used to validate grd_data: contains the simulated or estimated data to be validated
`validation_type`	Type of the output statistics to compute. Options are "stations": The statistics will be computed for each stations "all": The statistics will be computed by using all stations together "average": The statistics will be computed by spatially averaging all stations
`categorical_thres`	A number, giving the threshold to use to create the contingency table for the categorical statistics.
`categorical_fun`	A character, indicating the operator function to be applied for the categorical statistics. Options: ">=", ">", "<=", "<"
`volumetric_type`	The type of threshold to use to compute the volumetric statistics. Options: "threshold", "percentile"
`volumetric_pars`	The thresholds or percentile to use to compute the volumetric statistics. If `volumetric_type` is "threshold": `volumetric_pars` specifies the threshold to be used. If one value is provided, all the stations will use this threshold If a vector is provided, it must be the same number of the number of stations in `stn_data` "percentile": a value of the percentile to use. The percentile will be computed using `stn_data` to create the threshold to be used to compute the volumetric statistics