aem | Construct asymmetric eigenvector maps (AEM) |

aem.build.binary | Construct a site-by-edge binary matrix |

aem.time | AEM for time series |

aem.weight.edges | Weight edges when constructing AEM variables |

aem.weight.time | Weight edges when constructing AEM variables |

bacProdxy | Bacterial production data set |

beta.div | Beta diversity computed as Var(Y) |

beta.div.comp | Decompose D in replacement and richness difference components |

chooseCN | Function to choose a connection network |

constr.hclust | Space- And Time-Constrained Clustering |

constr.hclust-class | Class For Constrained Hiereachical Clustering |

Cperiodogram | Contingency periodogram |

create.dbMEM.model | Combine dbMEM matrices corresponding to groups of sites |

dbmem | dbMEM spatial eigenfunctions |

dist.ldc | Dissimilarity matrices for community composition data |

envspace.test | Perform a test of the shared space-environment fraction of a variation partitioning using torus-translation (TT) or Moran Spectral Randomisation (MSR) |

forward.sel | Forward selection with multivariate Y using permutation under reducel model |

forward.sel.par | Parametric forward selection of explanatory variables in regression and RDA |

give.thresh | Compute the maximum distance of the minimum spanning tree based on a distance matrix |

global.rtest | Global and local tests |

LCBD.comp | Compute LCBD from any D matrix |

listw.candidates | Function to create a list of spatial weighting matrices |

listw.explore | Interactive tool to generate R code that creates a spatial weighting matrix |

listw.select | Function to optimize the selection of a spatial weighting matrix and select the best subset of eigenvectors (MEM, Moran's Eigenvector Maps) |

local.rtest | Global and local tests |

mastigouche | Mastigouche Lake network data set |

mem | Function to compute and manage Moran's Eigenvector Maps (MEM) of a listw object |

mem.select | Selection of the best subset of spatial eigenvectors (MEM, Moran's Eigenvector Maps) |

mfpa | Multi-frequential periodogram analysis |

moran.bounds | Function to compute extreme values of Moran's I |

moran.randtest | Function to compute Moran's index of spatial autocorrelation |

moranNP.randtest | Function to compute positive and negative parts of Moran's index of spatial autocorrelation |

mspa | Multi-Scale Pattern Analysis |

msr | Moran spectral randomization |

msr.4thcorner | Moran spectral randomization for fourth-corner analysis |

msr.default | Moran spectral randomization |

msr.mantelrtest | Moran spectral randomization for Mantel test |

msr.varipart | Moran spectral randomization for variation partitioning |

mst.nb | Function to compute neighborhood based on the minimum spanning tree |

multispati | Multivariate spatial analysis |

ortho.AIC | Compute AIC for models with orthonormal explanatory variables |

orthobasis.listw | Function to compute and manage Moran's Eigenvector Maps (MEM) of a listw object |

orthobasis.poly | Function to compute polynomial of geographical coordinates |

plot.constr.hclust | Plotting Method For Space- And Time-Constrained Clustering |

plot.mfpa | Multi-frequential periodogram analysis |

plot.multispati | Multivariate spatial analysis |

plot.orthobasisSp | Function to display Moran's Eigenvector Maps (MEM) and other spatial orthogonal bases |

plot.scalogram | Function to compute a scalogram |

plot.TBI | Plots of the outputs of a temporal beta diversity analysis |

plot.WRperio | Whittaker-Robinson periodogram |

print.mfpa | Multi-frequential periodogram analysis |

print.mspa | Multi-Scale Pattern Analysis |

print.multispati | Multivariate spatial analysis |

quicksti | Space-time interaction in ANOVA without replication |

rotation | Rotate a set of point by a certain angle |

scalogram | Function to compute a scalogram |

scatter.mspa | Multi-Scale Pattern Analysis |

scores.listw | Function to compute and manage Moran's Eigenvector Maps (MEM) of a listw object |

ScotchWhiskey | Scotch Whiskey Data Set |

stimodels | Space-time interaction in ANOVA without replication |

summary.multispati | Multivariate spatial analysis |

TBI | TBI: Difference between multivariate observations at T1 and T2 |

test.W | Function to compute and test eigenvectors of spatial weighting matrices |

Tiahura | Tiahura Transect Fish Data Set |

tpaired.krandtest | Paired t-tests of differences between T1 and T2 for each species |

tpaired.randtest | Permutational paired t-test |

trichoptera | Trichoptera data set |

variogmultiv | Function to compute multivariate empirical variogram |

WRperiodogram | Whittaker-Robinson periodogram |

[.orthobasisSp | Function to compute and manage Moran's Eigenvector Maps (MEM) of a listw object |