View source: R/IterCrossV_functions.R
Function to fit a model among all possible
1 2 3 4 5 6 7 8 9 10 11 12 | fit_model(
x,
model,
fixXI,
modeltype,
x_lcc,
MaxDist,
Phi,
Model,
fix.lambda,
lambda
)
|
x |
data.frame or SpatialPointsDataFrame of observations with covariates |
model |
model formula written as character |
fixXI |
Power of the Tweedie model ( |
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. |
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