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 |
directional.response |
Directional indices of community change |
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 |