ASRgenomics1.1.5 package

Complementary Genomic Functions

ASRgenomics-package

ASRgenomics: Complementary Genomic Functions

callrate

Estimates call rate

check.args_

Check string arguments

check.data.mode_

Check data mode

check.data_

Check data class

check.logical_

Check logical arguments

dummy.map_

Creates a dummy map if not provided

Fis

Estimates the population level inbreeding (Fis) by marker

full2sparse

Generates a sparse form matrix from a full form matrix

G.inverse

Obtains the inverse of the genomic relationship matrix G

G.matrix

Obtains the genomic matrix from SNP data for additive or dominant rela...

G.predict

Generates the conditional predictions of random effects (BLUPs)

G.tuneup

Tune-up the the genomic relationship matrix G

H.inverse

Generates the inverse of the hybrid H matrix

H.matrix

Generates the hybrid HH matrix

heterozygosity

Estimates observed and expected heterozygosity

kinship.diagnostics

Reports summary statistics, plots and filter options for a given kinsh...

kinship.heatmap

Enhanced heatmap plot for a kinship matrix K

kinship.pca

Performs a Principal Component Analysis (PCA) based on a kinship matri...

Kinv.condition

Assess condition of the inverse of K

maf

Estimates minor allele frequency (MAF)

match.G2A

Check the genomic relationship matrix G against the pedigree relations...

match.kinship2pheno

Check any kinship matrix K against phenotypic data

qc.filtering

Quality control filtering of molecular matrix M for downstream analyse...

silent_

Function that silences everything (e.g., cat(), print(), `message(...

snp.pca

Performs a Principal Component Analysis (PCA) based on a molecular mat...

snp.pruning

Reduces the number of redundant markers on a molecular matrix M by pru...

snp.recode

Recodes the molecular matrix M for downstream analyses

sparse2full

Generates a full matrix form from a sparse form matrix

synthetic.cross

Generates a molecular matrix M for hypothetical crosses based on the g...

Presents a series of molecular and genetic routines in the R environment with the aim of assisting in analytical pipelines before and after the use of 'asreml' or another library to perform analyses such as Genomic Selection or Genome-Wide Association Analyses. Methods and examples are described in Gezan, Oliveira, Galli, and Murray (2022) <https://asreml.kb.vsni.co.uk/wp-content/uploads/sites/3/ASRgenomics_Manual.pdf>.

  • Maintainer: Salvador Gezan
  • License: MIT + file LICENSE
  • Last published: 2025-08-23