object of class RMmodel, RFformula or formula; best is to consider the examples below, first.
The argument params is a list that specifies free parameters in a formula description, see RMformula.

vector of x coordinates, or object of class GridTopology or raster; for more options see RFsimulateAdvanced.

optional vectors of y (z) coordinates, which should not be given if x is a matrix.

optional vector of time coordinates, T must always be an equidistant vector. Instead of T=seq(from=From, by=By, len=Len), one may also write T=c(From, By, Len).

logical; the function finds itself the correct value in nearly all cases, so that usually grid need not be given. See also RFsimulateAdvanced.

matrix, data.frame or object of class RFsp;
If a matrix is given the ordering of the colums is the following: space, time, multivariate, repetitions, i.e. the index for the space runs the fastest and that for repetitions the slowest.

list or vector. Lower bounds for the parameters. If lower is a vector, lower has to be a vector as well and its length must equal the number of parameters to be estimated. The order of lower has to be maintained. A component being NA means that no manual lower bound for the corresponding parameter is set.
If lower is a list, lower has to be of (exactly) the same structure of the model.

list or vector. Upper bounds for the parameters. See lower.

Single method to be used for estimating, either one of the methods or one of the sub.methods see RFfit

User's guess of the parameters. All the parameters must be given using the same rules as for lower (except that no NA's should be contained).

another alternative for the argument x to pass the (relative) coordinates, see RFsimulateAdvanced.

control list for optim, which uses ‘L-BFGS-B’. However parscale may not be given.

obsolete for users; use param instead. transform=list() will return structural information to set up the correct function.

logical. If TRUE then cross-validation is also performed for intermediate models used in RFfit (if any).

for advanced use: further options and control arguments for the simulation that are passed to and processed by RFoptions. If params is given, then ... may include also the variables used in params.

the original data.

the values predicted by cross-validation.

the cross-validation prediction variance.

the differences data - predicted value.

the errors divided by the square root of the prediction variances.

In contrast to geoR the p-value is returned, i.e. the probability that a difference with absolute value larger than the absolute value of the actual difference is observed.

A method for summary returns summary statistics for the errors and standard errors similar to geoR.

If cross_refit = TRUE and detailed_output = TRUE the returned object also contains a fitted which is a list of fitted models.