NEWS.md

In inbreedR: Analysing Inbreeding Based on Genetic Markers

inbreedR 0.3.3

• fixed linux CRAN built

inbreedR 0.3.2

• added citation

• added section to vignette on calculating g2 in real-world SNP datasets

inbreedR 0.3.1

• deleted packages Hmisc and scales and exchanged with base R code

• authors added

• r2_hf() bound to 0-1

• verbose argument added to g2_microsats and g2_snps

• section on how to extract genotypes from VCF file added to vignette

inbreedR 0.3.0

Improvements

• g2_resampling function deleted

• simulate_g2 function added. This function simulates genotypes from which different sized marker sets can be independently drawn to estimate the precision and magnitude of g2 for a given dataset. Also works with larger (SNP) datasets.

• simulate_r2_hf function added. This function uses the same simulation as simulate_g2 to estimate the expected correlation between heteorzygosity and inbreeding for varying number of markers. Also works with larger (SNP) datasets.

• MLH function added. MLH is the unstandardized version of the existing sMLH function.

• subsets argument in r2_hf function deprecated. Although you can infer the magnitude of the esimate by subsampling, the variation in estimates is biased. It is recommended to use the new simulate_r2_hf function instead.

inbreedR 0.2.0

Improvements

• Bootstrapping over individuals for r2_hf() and r2_Wf()

• plotting histograms with CI for r2_hf() and r2_Wf()

• r2_hf() has an additional plot argument now, specify plottype = "histogram"to visualize bootstrapping or plottype = "boxplot" to show the boxplots resulting from resampling of different loci subsets.

inbreedR documentation built on Feb. 2, 2022, 5:09 p.m.