Man pages for mikemc/metacal
Bias estimation and calibration for metagenomics experiments

anormAitchison norm of x
as_matrixCoerce a (wide) data frame to a matrix
bootrep_centerGenerate bootstrap replicates of the sample center
build_matrixCreate a matrix from columns of a tidy data frame
calibrateCalibrate a relative-abundance matrix by a bias vector
centerCompute the center (compositional mean) of a set of...
center_eltsGeometrically center the elements of x
close_eltsClose the elements of x to proportions
clrCompute the centered log-ratio transform of x
compute_ratiosCompute taxon ratios from a tidy data frame
cooccurrenceTaxon co-occurrence network
cornerObjects exported from other packages
estimate_biasEstimate bias from control measurements
gmGeometric (multiplicative) version of the function f
gm_absGeometric absolute value of x
gm_meanGeometric mean of x
gm_rangeGeometric range of x
gm_sdGeometric standard deviation of x
import_phyloseqImport phyloseq classes and functions
log_center_projCompute the log center by the projection method
log_center_rssCompute the log center by numerical optimization
logitLogit (log-odds) of the probability vector x
mean_efficiencyCompute sample mean efficiencies
metacal-packagemetacal: Bias estimation and calibration for metagenomics...
mutate_byMutate within groups
oddsOdds of the probability vector x
pairwise_ratiosPairwise ratios of vector elements and matrix rows or columns
perturbCompositionally perturb a relative-abundance matrix
proj_matProjection matrix P_M
xydistDistance or dissimilarity between relative abundance vectors...
mikemc/metacal documentation built on Feb. 20, 2022, 1:46 a.m.