fs.
and build.
methodsfs
methodsfsAmalgam
and fsPRA
fsBalance
and fsPRA
fsAmalgam
fsAmalgam
error due to missing namesamalgam
propr::pra
methodfsPRA
function performs pairwise log-ratio selectionmodHistory
amalgam
packagefsAmalgam
function finds amalgams for training setmodHistory
asSLR = TRUE
exprso
import function make S4 object at very end[.ExprsPipeline
operator to re-order modelsclass
, conjoin
, and fs
testspredict
modulesens
testMultiPredict
object handles multi-class predictionbuild
modulesfs.
and build.
more similarbuild
modules to true multi-class learningpredict
modulespredict.ExprsMulti
now handles true multi-class learningpredict.ExprsEnsemble
now handles true multi-class learningpl
modulesplCV
: Use plCV.acc = 'acc'
when requested value not foundpipe
modulespipeSubset
: Remove default colBy
argument to guard against improper useplGridMulti
moduledoMulti
modulebuild
testcalc
modulespl
modulesplCV
: New plCV.acc
argument allows user to select inner-CV performance metricplCV
: New aucSkip
argument allows user to calculate ROCR performanceplGrid
: Arguments aucSkip
and plCV.acc
now passed to plCV
plNested
: Simplify codeplCV
: Simplify codecalc
modulescalcStats
fs
modulestop
argument to fsInclude
and fsAnnot
(needed for ctrlFeatureSelect
)mod
modulesmodHistory
, preFilter = 0 will skip the subset (to speed up model deployment)modHistory
now checks for equivalent dimension reduction historyfs
moduleskeep
argument entirelybuild
modulesexprso
modulemake.names
to annotation columns toofsAnnot
to workfs
modulesfsAnnot
pulls in an annotation column as a featurefsCor
bug that did not rank by absolute value of correlationreRank
modulefs
modulescolBy
argument for fsRDA
triggers constrained RDAfsRDA
always returns the unconstrained part of an RDA...
for fsRDA
mod
modulesmodHistory
always returns the unconstrained part of an RDAcolBy
to act as the conditioning matrixfsPathClassRFE
and fsSelbal
nfeats
returns number of features in objectnsamps
returns number of samples in objectsplit
modulessplitBoost
up-samples the smaller of two classesfs
modulesfsSelbal
performs balance selection using selbal::selbal
fsRDA
performs dimension reduction using vegan::rda
fsPropd
modulesuppressWarnings(RNGversion("3.5.0"))
to testsbuild
modulesintercept = FALSE
kernel = "linear"
calcStats
RegrsPredict
accuracymod
modulesmodCLR
bugexprso
importmake.names
to feature namescalcStats
mod
modulesmodPermute
will permute predictor variablesgetWeights
methodrandomForest
objectsfs
modulesfsBalance
to support sbp.fromPropd
mod
modulesmodHistory
to support balance deploymentfs
modulesfsBalance
to convert features into balancessbp.subset
if ternary
or ratios
argument is providedgetWeights
methodExprsModel
and related objectsbuild
modulesbuildGLM
to work for any outcome (continuous and factor)buildLASSO
module for LASSO and Ridge regressionmod
modulesalpha
argument to modRatios
functionfsPropd
for compatibility with propr
version 4.0e1071
version 1.7gtools
importmod
modulesmodSkew
function to add feature based only on alpha
fs
modulesfsPathClassRFE
to the ?fs
help filemod
modulesmodSkew
function skews sample vectors by a factor rangeexprso
importexprso
can now swap "Control" and "Case" labels with switch
argumentexprso
no longer gives error when importing tabular annotationsexprso
can now predict any column from tabular annotationssplit
modulessplitBalanced
to balance both the training and validation setsmod
modulesmodInclude
function to select specific features from a data setmodShuffle
to modSample
exprso
no longer alters labels already called "Control" and "Case"split
modulessplitStratify
now runs quietlysplitSample
NULL validation set cat
changed to a warningfs
moduleskeep
argument to subset features after performing selectionkeep
can speed up model deployment for lage data setsmod
modulesbase = exp(1)
argument as default for modTransform
methodfs
modulesmodRatios
argument to fsPropd
for data provided as ratiossplit
modulessplitBy
function to split data by user-defined groupfs.
and build.
modHistory
mod
modulesmodScale
with a new procedure that uses runif
modScale
with another method that uses rnorm
size
argument to modShuffle
fs
modulesfsRankProd
method ranks features using RankProd
packagefsStats
to use wilcox.test
and f.test
suppressMessages
to fsPropd
modulebuild
modulesnnet
functionbuildANN
argumentsverbose = FALSE
updateverbose
to toggle defaultArg
and forceArg
messagesverbose = FALSE
for calcStats
calls from plCV
verbose = FALSE
the default for plGrid
progress
function to list of global functionssuppressMessages
to plMonteCarlo
and plNested
callsprogress
bar in plMonteCarlo
and plNested
callsmod
modulesmodShuffle
function shuffles feature order by random samplingmodScale
function scales sample vectors by a factor rangebuild
modulesbuildDT
function builds decision tree modelpredict.ExprsMachine
and predict.RegrsModel
supportbuildFRB
function builds fuzzy rule based modelpredict.ExprsMachine
and predict.RegrsModel
supportbuildLR
function builds logistic regression modelpredict.ExprsMachine
supportbuildLM
and buildGLM
functionspredict.RegrsModel
supportplMonteCarlo
now accepts a list of ctrlModSet
handlersplMonteCarlo
now skips fs
if ctrlFS = NULL
plNested
now skips fs
if ctrlFS = NULL
modRatios
function recasts data as feature ratiosshow.ExprsPredict
methodshow
method for RegrsArray
objectsshow
method for RegrsModel
objectsshow
method for RegrsPredict
objectspl
pipelinesmodHistory
into script with other mod modulespredict
and calcStats
into separate filessplitSample
work with RegrsArray
objectssplitStratify
is classification onlyRegrsModel
objectsbuildLDA
is classification onlybuildNB
is classification onlyRegrsModel
objectsRegrsPredict
objectsctrlModSet
function to handle pre-process argumentsplMonteCarlo
apply pre-process at each bootstrapexprso
throw error if passed boolean outcomesRegrsPredict
class with two slotsmodAcomp
makes all sample vectors have same total summodCLR
applies centered log-ratio transformationfsPropd
functionfsStats
run a bit fasterRegrsModel
support to build.
constructorcalcMonteCarlo
calcNested
magrittr
import?fs
and ?build
help filesExprsCont
class to RegrsArray
RegrsModel
classfsCor
function ranks features for RegrsArray
objects?pipe
help filemodTMM
now returns effective library size instead of cpmfsEdger
function ranks features using exact testfsEbayes
now uses the correct design matrixbuild
modules now have own documentation?build
help filegolubEsets
dependencyexprso
function provides x
and y
style importExprsCont
class handles continuous outcomesmodTMM
function performs TMM normalization?mod
help filesplit
now defaults to percent.include = 67
split
modules now have own documentation?split
help filefsPropd
function selects features using propr
packagefs
modules now have own documentation?fs
help filearrayExprs
calcStats
NaN
and NA
performance metrics now replaced with 0fs
functionsfsInclude
ranks stated features above all othersfs.
check for non-numeric featurespl
functionspl
functions now store run parameters in resultsplMonteCarlo
now calculates outer-fold accuracyplNested
now calculates outer-fold accuracypipeFilter
top
now chooses simplest classifier in case of tieinst/CITATION
Biobase
and GEOquery
optional packageslimma
an optional packagefsNULL
method to return feature input unalteredfsANOVA
feature selection methodmakeGridFromArgs
how = buildSVM
ctrlFS
ctrlGS
will now accept any pl
functionrbind.fill
instead of rbind
to prevent errorctrlGS
will now accept any pl
functionrbind.fill
instead of rbind
to prevent errorplGridMulti
check to check.ctrlGS
getProbeSet
to getFeatures
probes.begin
argument to begin
fsPrcomp
use top
argumentprobes
argument to top
probes
argument to top
fsSample
an ExprsArray
methodprobes
argument to top
ExprsArray
signature to all build
methodsdoMulti
call to build.
functionprobes
argument to top
what
agument to method
to allow for do.call
NA
instead of NULL
for empty ExprsMachine
ExprsMulti
method for fsSample
ExprsMulti
method for fsStats
NA
instead of NULL
for empty ExprsMachine
ExprsMulti
tie breaker warningprobes
argument to top
probes
argument to top
probes
argument to top
top.N
argument to top
top.N
argument to top
data
actual
slot to ExprsPredict
objectplot
methodstringsAsFactors = FALSE
plot
methodmodHistory
@reductionModel
predict
@mach
ExprsPredict
resultcalcStats
array
argumentcalcStats
callscalcStats
callsExprsPredict
resultpipeSubset
functionarrayRead
and arrayEset
functionsarrayExprs
function adds data.frame
supportsplitSample
warningcompare
warning into errorfs.
method to wrap repetitive codefsStats
"ks-boot" methodfsPenalizedSVM
build.
method to wrap repetitive codeplCV
warningplGrid
warning into a messagepipeFilter
warning into a messagegetArgs
, defaultArg
, and forceArg
functionstrainingSet
, validationSet
, and testSet
functionsmodSubset
wrapper for subset
methodsubset
method for ExprsArray
objectssubset
method for ExprsPipeline
objectsmodMutate
merged with modSwap
as 4.1-modSwap.RmodCluster
method added as 4.2-modCluster.Rcompare
method added as 4.3-compare.Rcompare
now handles ExprsMulti
objectscompare
test added to validate methodfsStats
has tryCatch to address rare errorsummary
method now accommodates lists of vector argumentsbuildDNN.ExprsBinary
methode1071
cross-validationbuildDNN.ExprsMulti
methodbuildDNN
predict clauseplGrid
method now accommodates lists of vector argumentse1071
cross-validationcompare
functiongetCases
and getConts
. Use [
and $
insteadgetProbeSet
extended to replace getProbeSummary
arraySubset
replaced with [
and $
in 1.1-classes.RsplitSample
code heavily edited, including an all.in
bug fixsplitStratify
now handles ExprsMulti
objectsspeakEasy
and abridge
functionsreRank
function serializes doMulti
fs added to 5.3-doMulti.RfsSample
and fsStats
now have ExprsMulti
methodspl
methodplCV
, fixed "1-subject artifact"" with drop = FALSE
plNested
, fixed "1-subject artifact" with drop = FALSE
plNested
argument checks moved to separate functionpipeSubset
. Use [
and $
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