API for apear9/SSNdesign
An R Package for Optimal and Adaptive Sampling Designs on Stream Networks

Global functions
CPDOptimality Man page Source code
CPOptimality Man page Source code
DOptimality Man page Source code
EDOptimality Man page Source code
EKOptimality Man page Source code
Find.Tribs Man page Source code
KOptimality Man page Source code
OneSampPerSeg Man page Source code
ProfLike Source code
SRS.sample Man page Source code
SSNdesign Man page
SSNdesign-package Man page
SameSegmentClusters.sample Man page Source code
SimulateOnSSN2 Man page Source code
SimulateOnSSN_minimal Source code
Stream.Network.Samples Man page Source code
anum Source code
anyPreds Source code
calculateShreveStreamOrder Man page Source code
calculateShreveStreamOrderAndAFVs Man page Source code
closestToZero Source code
collapseAndReorderEdgelist Source code
constructLogNormalPriors Man page Source code
constructSpaceFillingDesign Man page Source code
constructTotalMatrix Source code
correctSystematicDesign Source code
createSSNList Source code
design.validation.covariance.parms.estimation Source code
design.validation.covariance.parms.estimation_ Source code
design.validation.fixed.effects.estimation Source code
design.validation.fixed.effects.estimation_ Source code
design.validation.predictions Source code
design.validation.predictions_ Source code
drawStreamNetworkSamples Man page Source code
evaluateFixedDesigns Man page Source code
evolveGRTSOverTime Man page Source code
evolveRandOverTime Man page Source code
extractExpectedFisherInformation Man page Source code
extractShreveAndAFVs Source code
extractStreamEdgeCovariates Man page Source code
fillSpaceAtIntervals Source code
find.seg.below Man page Source code
find.segment.lengths Man page Source code
first.loc Man page Source code
generateSites Man page Source code
getBIDtables Man page Source code
getCalculatedCovMatrix Man page Source code
getCalculatedSE Man page Source code
getCovMat Man page Source code
getExpectedCovMatrix Man page Source code
getExpectedSE Man page Source code
getImportantMatrices.obs Source code
getImportantMatrices.obs2 Source code
getImportantMatrices.pxo Source code
getLikelihoodProfile Man page Source code
getStreamDistMatInOrder Man page Source code
getStreamDistMatInOrder.predsxobs Source code
glmssn1_minimal Source code
glmssn_minimal Source code
goUpOneLevelInSSNPath Source code
hardCoreDesign Man page
identifyObsxPredsABMatrices Source code
importStreams Man page Source code
isSSN Source code
locatePointOnEdge Source code
m2LL.stream1 Source code
mae Source code
matchIndices Source code
me Source code
ndpoints Man page Source code
nnetwork Man page Source code
nppoints Man page Source code
optimiseSSNDesign Man page Source code
overwriteBeta Source code
overwriteThetas Source code
plot.ssndesign Man page Source code
plotTrace Source code
predict.glmssn_minimal Source code
retrieveDistAndConnMat Source code
rmse Source code
searchAllDesigns Source code
sequentialCPOptimality Man page Source code
sequentialDOptimality Man page Source code
sequentialEDOptimality Man page Source code
simulateFromSSNM Man page Source code
spaceFilling Source code
spaceFillingMaxiMin Man page Source code
spaceFillingMorrisMitchell Man page Source code
spliceSSNSites Man page Source code
splitSSNSites Man page Source code
ssn2DataFrames Man page Source code
ssndesign2DF Source code
stableInverse Source code
stds01 Source code
stdsGs Man page Source code
subsetByID Man page Source code
subsetByLOCID Source code
subsetByPID Source code
subsetPreds Man page Source code
subsetSSN2 Source code
systematicDesign Man page Source code
tempPath Man page Source code
transformSSNVars Man page Source code
unpackExampleData Man page Source code
validateDesigns Source code
writeStreams Source code
apear9/SSNdesign documentation built on Feb. 19, 2020, 4:29 a.m.