MMRR performs Multiple Matrix Regression with Randomization analysis

MMRR performs Multiple Matrix Regression with Randomization analysis

Usage

MMRR(Y, X, nperm = 999, scale = TRUE)

Arguments

Y

is a dependent distance matrix

X

is a list of independent distance matrices (with optional names)

nperm

is the number of permutations to be used in significance tests. Default = 999.

scale

if TRUE then matrices will be standardized. Default = TRUE.

Details

When using MMRR, please cite the original citation: Wang I.J. (2013) Examining the full effects of landscape heterogeneity on spatial genetic variation: a multiple matrix regression approach for quantifying geographic and ecological isolation. Evolution, 67: 3403-3411.

See also

Other MMRR functions: mmrr_df(), mmrr_do_everything(), mmrr_plot(), mmrr_run(), mmrr_table(), mmrr_var_sel(), unfold()