Routines for forecasting univariate time series using Theta Models.

Reading and writing data stored by some versions of
	'Epi Info', 'Minitab', 'S', 'SAS', 'SPSS', 'Stata', 'Systat', 'Weka',
	and for reading and writing some 'dBase' files.

Computes likelihood ratios based on pigmentation traits. Also, it allows computing conditional probabilities for unidentified individuals based on missing person characteristics. A set of tailored plots are incorporated to analyze likelihood ratio distributions.

Provides allele frequency data for Short Tandem Repeat human
             genetic markers commonly used in forensic genetics for human
             identification and kinship analysis. Includes published population
             frequency data from the US National Institute of Standards and
             Technology, Federal Bureau of Investigation and the UK government.

Statistical methods and simulation tools for the
        interpretation of forensic DNA mixtures. The methods
        implemented are described in
        Haned et al. (2011) <doi:10.1111/j.1556-4029.2010.01550.x>,
        Haned et al. (2012) <doi:10.1016/j.fsigen.2012.11.002> and
        Gill & Haned (2013) <doi:10.1016/j.fsigen.2012.08.008>.

Include assessing site classes based on the stand height growth and establishing a nonlinear mixed-effect biomass model under different site classes based on the whole stand model to achieve more accurate estimation of carbon sequestration. In particular, a carbon sequestration potential productivity calculation method based on the potential mean annual increment is proposed. This package is applicable to both natural forests and plantations. It can quantitatively assess stand’s potential productivity, realized productivity, and possible improvement under certain site, and can be used in many aspects such as site quality assessment, tree species suitability evaluation, and forest degradation evaluation. Reference: Lei X, Fu L, Li H, et al (2018) <doi:10.11707/j.1001-7488.20181213>. Fu L, Sharma R P, Zhu G, et al (2017) <doi:10.3390/f8040119>.