Changes in version 0.3.3 (2022-02-02)                  

  - fixed linux CRAN built

                 Changes in version 0.3.2 (2016-09-09)                  

  - added citation

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

                 Changes in version 0.3.1 (2016-03-21)                  

  - 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

                 Changes in version 0.3.0 (2015-11-30)                  

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.

                 Changes in version 0.2.0 (2015-10-06)                  

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.