Man pages for poolABC
Approximate Bayesian Computation with Pooled Sequencing Data

abbaCalculate the abba portion of the D-statistic
ABCParameter estimation with Approximate Bayesian Computation...
babaCalculate the baba portion of the D-statistic
BTmatrixBack-transform matrix of parameter values
checkCoverageRemove sites with incorrect depths of coverage
checkMajorCheck if the major allele is the same in all populations
checkMissingRemove sites with missing data
cleanDataImport and clean a single file containing data in...
cmd2popsCreate SCRM command line for a model with two populations
cmdParallelCreate SCRM command line for a parallel origin scenario
cmdSingleCreate SCRM command line for a single origin scenario
createHeaderCreate a header for a _rc file of popoolation2
createParamsDraw parameters from the priors
D.statcalculate D-statistic
D.statPoolPerform D-statistics analysis
errorABCCalculate cross-validation prediction error of parameter...
error_modelSelCompute error in model selection with Approximate Bayesian...
euclideanCompute euclidean distance
exclusiveCompute the fraction of exclusive sites
Expected_HetCompute expected heterozygosity within a population
filterDataFilter the data by the frequency of the minor allele
fixedCompute the fraction of sites fixed between populations
forceLocusForce the simulations to contain the required number of loci
getFstCalculate FST
getmodeCalculate the mode of a distribution
Het_BetweenCompute heterozygosity between all pairs of populations
importContigsImport multiple files containing data in PoPoolation2 format
importDataImport a single file containing data in 'popoolation2' format
index.rejABCParameter estimation with Approximate Bayesian Computation...
indexSNPsObtain the index of SNPs inside a block with defined size
inverse_transBack-transform the parameters values
limitsMatrix of prior limits
meanExpected_HetCompute mean expected heterozygosity within a population
mergepostMerge posterior distributions
mode_locfitCompute mode of a locfit object
modelSelectPerform model selection with Approximate Bayesian Computation
multipleABCParameter estimation with Approximate Bayesian Computation...
myparamsMatrix of simulated parameter values
normaliseNormalize data - adjust values measured on different scales
organize.poststatOrganize point estimates from multiple posterior...
organizeSCRMOrganize scrm output
pairFSTPairwise FST among populations
paramsMatrix of simulated parameter values
pickWindowsRandomly select blocks of a given size from several contigs
plot_errorPrediction error plots for ABC
plot_errorABCPrediction error plots for ABC using a list
plot_mselPlot model misclassification
plot_paramPlot the density estimation of a given parameter
plot_PosteriorsPlot multiple posterior distributions
plot_statsPlot the fit of a summary statistic to the target
plot_weightedPlot the density estimation of a given parameter
poolSimSimulation of Pooled DNA sequencing
poolStatsCompute summary statistics from Pooled DNA sequencing
popsFSTPairwise FST among populations and across multiple loci
poststatCalculate point estimates from the posterior distribution
prepareDataOrganize information by contig - for multiple data files
prepareFileOrganize information by contigs - for a single data file
priorsMatrixConstruct matrix of prior limits
rc1Data frame with an example of observed data
rc2Data frame with an example of observed data
regABCParameter estimation with Approximate Bayesian Computation...
rejABCParameter estimation with Approximate Bayesian Computation...
remove_quantileReadsRemove sites using quantiles of the depth of coverage
remove_realReadsRemove sites, according to their coverage, from real data
removeVarRemove columns with zero variance
runSCRMRun scrm and obtain genotypes
scaled.migrationCompute scaled migration rates
scaledPriorCompute scaled migration rate limits
sharedCompute the fraction of sites shared between populations
sim_modelSelLeave-one-out cross validation of model selection
simulationABCPerform an Approximate Bayesian Computation simulation study
singleABCParameter estimation with Approximate Bayesian Computation...
statsContigCompute summary statistics from observed data
summary_modelSelectPosterior model probabilities
sumstatsMatrix of summary statistics computed from simulated data
TmatrixTransform matrix of parameter values
tranfApply a transformation to the parameters
weighted_statsCompute weighted point estimates
poolABC documentation built on Aug. 8, 2023, 5:14 p.m.