Calculates the pooled mean group (PMG) estimator for dynamic panel data models, as described by Pesaran, Shin and Smith (1999) <doi:10.1080/01621459.1999.10474156>.

Analyzing genetic data obtained from pooled samples. 
    This package can read in Fragment Analysis output files, process the data, 
    and score peaks, as well as facilitate various analyses, including cluster 
    analysis, calculation of genetic distances and diversity indices, 
    as well as bootstrap resampling for statistical inference. Specifically 
    tailored to handle genetic data efficiently, researchers can explore 
    population structure, genetic differentiation, and genetic relatedness 
    among samples. We updated some functions from Covarrubias-Pazaran et al. 
    (2016) <doi:10.1186/s12863-016-0365-6> to allow for the use of new file formats 
    and referenced the following to write our genetic analysis functions: 
    Long et al. (2022) <doi:10.1038/s41598-022-04776-0>, Jost (2008) 
    <doi:10.1111/j.1365-294x.2008.03887.x>, Nei (1973) 
    <doi:10.1073/pnas.70.12.3321>, Foulley et al. (2006) 
    <doi:10.1016/j.livprodsci.2005.10.021>, Chao et al. (2008) 
    <doi:10.1111/j.1541-0420.2008.01010.x>.

Functions for the computation of F-, f- and D-statistics (e.g., Fst, hierarchical F-statistics, Patterson's F2, F3, F3*, F4 and D parameters) in population genomics studies from allele count or Pool-Seq read count data and for the fitting, building and visualization of admixture graphs. The package also includes several utilities to manipulate Pool-Seq data stored in standard format (e.g., such as 'vcf' files or 'rsync' files generated by the the 'PoPoolation' software) and perform conversion to alternative format (as used in the 'BayPass' and 'SelEstim' software). As of version 2.0, the package also includes utilities to manipulate standard allele count data (e.g., stored in TreeMix, BayPass and SelEstim format).

Simulates pooled sequencing data under a variety of conditions. 
    Also allows for the evaluation of the average absolute difference between allele frequencies 
    computed from genotypes and those computed from pooled data. 
    Carvalho et al., (2022) <doi:10.1101/2023.01.20.524733>.