R: Calculate the PGS model of indicators

model.pgs {RGeostats}

R Documentation

Calculate the PGS model of indicators

Calculate the PGS model of indicators

model.pgs(dbin, vario, rule = rule.input(), model1 = NA, model2 = NA, 
		 dbprop = NA, props = NA)

`dbin`	The `db-class` structure containing the input data
`vario`	The `vario-class` structure that must be filled using the PGS Model
`rule`	The `rule-class` structure used to define the Lithotype Rule
`model1`	The `model-class` structure used to describe the Model of the first underlying gaussian random function. For more information check `check.model`.
`model2`	The `model-class` structure used to describe the Model of the secons underlying gaussian random function. For more information check `check.model`.
`dbprop`	The `db-class` structure containing the proportions. See details in `rule.check`.
`props`	Vector of constant proportions used if flag.stat=T. Its dimension must be equal to the number of facies: otherwise, all the proportions are considered as equal. See details in `rule.check`.

A vario-class structure containing the values calculated using the model(s)

[Package RGeostats version 14.0.10 Index]