Function to fit a model among all possible

Source: R/IterCrossV_functions.R

Function to fit a model among all possible

fit_model(
  x,
  model,
  fixXI,
  modeltype,
  x_lcc,
  MaxDist,
  Phi,
  Model,
  fix.lambda,
  lambda
)

Arguments

x

data.frame or SpatialPointsDataFrame of observations with covariates
model

model formula written as character
fixXI

Power of the Tweedie model (tweedie)
modeltype

sub-model type
x_lcc

Projected version of x for kriging
MaxDist

Maximum distance for variogram ("Krige*" modeltype only)
Phi

Range for Phi fitting ("Krige*" modeltype only)
Model

Model type for variogram ("Krige*" modeltype only)
fix.lambda

logical, indicating whether the Box-Cox transformation parameter lambda should be regarded as fixed (fix.lambda = TRUE) or should be be estimated (fix.lambda = FALSE). Defaults to TRUE.
lambda

value of the Box-Cox transformation parameter lambda. Regarded as a fixed value if fix.lambda = TRUE otherwise as the initial value for the minimisation algorithm. Defaults to 1. Two particular cases are lambda = 1 indicating no transformation and lambda = 0 indicating log-transformation.