getPreddistr: Training the model and generating the predictive...

In NorskRegnesentral/rWHAP: Significant Wave Height Analysis and Prediction

Description

Training the model and generating the predictive distributions

Usage

getPreddistr(
  SWH = NA,
  SLP = NA,
  SLP.grad = NA,
  latCell = 4,
  longCell = 4,
  neig = 2,
  na.thresh = 500,
  latSWH = NA,
  lonSWH = NA,
  latSLP = NA,
  longSLP = NA,
  intercept.fourier = NA,
  maxlag = 10
)

Arguments

SWH	The SWH data
SLP	The SLP data
SLP.grad	The SLP gradient data
latCell	Define the latitude cell of interest (default = 4)
longCell	Define the longitude cell of interest (default = 4)
neig	Define the number of spatial neighbours (default = 2)
na.thresh	Define how many missing values is "good enough" (default = 500)
latSWH	A vector containing the SWH latitudes
lonSWH	A vector containing the SWH longitudes
latSLP	A vector containing the SLP latitudes
intercept.fourier	Seasonal Fourier coefficients
maxlag	Define the maximum order of AR processes to be constructed
training.test	The training and the test data
lonSLP	A vector containing the SLO longitudes

Value

A list of predictive means, predictive spread and lambda for Box-Cox transformation

NorskRegnesentral/rWHAP documentation built on March 2, 2020, 5:31 a.m.