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proba · probability
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@tangent.to
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special
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betainc
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erfc
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default
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lina · linear algebra
Overview
API reference
functions
cholesky
choleskySolve
cond
det
diag
eigSym
eigSymGeneralized
identity
inv
invSqrtSym
isPositiveDefinite
lstsq
lu
luFactor
luFactorSolve
matmul
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pinvSolve
qr
rank
solve
svd
trace
transpose
variables
default
grad · automatic differentiation
Overview
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Var
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addDiag
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variables
add
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lgamma
log
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mul
neg
relu
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square
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tanh
ode · differential equations
Overview
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functions
euler
rk2
rk4
rk45
rosenbrock
solve
variables
default
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Matrix
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E
EPSILON
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Recipe
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polynomial
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composition
classes
CompositionalImputer
CompositionalOutlierDetector
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alrInv
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closure
clr
clrInv
compositionalOutliers
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ilrInv
imputeMissing
inner
multiplicativeReplacement
power
sbpBasis
variables
centralize
composition
lda
functions
fit
predict
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pca
functions
cumulativeVariance
fit
transform
pca
rda
functions
fit
permutationTest
transform
rda
mva
plot
functions
createD3DendrogramRenderer
dendrogramLayout
diagnosticDashboard
effectPlot
ordiplot
partialResidualPlot
plotCalibration
plotClusterMembership
plotClusterStability
plotCondensedTree
plotConfusionMatrix
plotCorrelationMatrix
plotFeatureImportance
plotHCA
plotHDBSCAN
plotHDBSCANDashboard
plotHDBSCANDendrogram
plotLearningCurve
plotPartialDependence
plotPrecisionRecall
plotQQ
plotResiduals
plotROC
plotScree
plotSilhouette
qqPlot
residualPlot
residualsLeveragePlot
resolveGroupValues
scaleLocationPlot
plot
stats
classes
ChiSquareTest
GLM
OneSampleTTest
OneWayAnova
TukeyHSD
TwoSampleTTest
functions
aicWeightPlot
bonferroni
coefficientComparisonPlot
cohensD
compareModels
crossValidate
crossValidateModels
etaSquared
fdr
fisherExactTest
holmBonferroni
leveneTest
likelihoodRatioTest
modelSelectionPlot
omegaSquared
pairwiseLRT
pearsonCorrelation
qchisq
spearmanCorrelation
variables
beta
chisq
gamma
hypothesis
normal
uniform
stats
variables
default
mc · Bayesian inference
Overview
API reference
classes
Bernoulli
Beta
Distribution
Exponential
Gamma
HalfNormal
HamiltonianMC
HMC
Lognormal
MetropolisHastings
Model
Normal
NUTS
Poisson
StudentT
Uniform
functions
autocorrPlot
effectiveSampleSize
ess
forestPlot
gelmanRubin
getRng
pairPlot
posteriorPlot
printSummary
rankPlot
rhat
runChain
sampleChains
setRandomSeed
summarize
summary
tracePlot
traceToCSV
traceToJSON
variables
default
diagnostics
distributions
ops
plot
samplers
nn · neural networks
Overview
API reference
sem · structural equation modeling
Overview
API reference
functions
buildModel
parseModel
sampleCov
sem
variables
cfa
default
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sum
sum
(
aIn
):
Var
Defined in:
ops.js:467
Sum every element to a scalar.
Parameters
aIn
any
Returns
Var
