Simulation of reconstructed phylogenetic trees under tree-wide time-heterogeneous birth-death processes and estimation of diversification parameters under the same model. Speciation and extinction rates can be any function of time and mass-extinction events at specific times can be provided. Trees can be simulated either conditioned on the number of species, the time of the process, or both. Additionally, the likelihood equations are implemented for convenience and can be used for Maximum Likelihood (ML) estimation and Bayesian inference.

Easy install and load key packages from the 'tesselle' suite
    in a single step. The 'tesselle' suite is a collection of packages for
    research and teaching in archaeology. These packages focus on
    quantitative analysis methods developed for archaeology. The
    'tesselle' packages are designed to work seamlessly together and to
    complement general-purpose and other specialized statistical packages.
    These packages can be used to explore and analyze common data types in
    archaeology: count data, compositional data and chronological data.
    Learn more about 'tesselle' at <https://www.tesselle.org>.

Bindings to 'Tesseract': 
     a powerful optical character recognition (OCR) engine that supports over 100 languages.
     The engine is highly configurable in order to tune the detection algorithms and
     obtain the best possible results.

Package test2norm contains functions to generate formulas for 
    normative standards applied to cognitive tests. It takes raw test scores 
    (e.g., number of correct responses) and converts them to scaled scores and 
    demographically adjusted scores, using methods described in Heaton et al. 
    (2003) <doi:10.1016/B978-012703570-3/50010-9> & Heaton et al. (2009, 
    ISBN:9780199702800). The scaled scores are calculated as quantiles of the 
    raw test scores, scaled to have the mean of 10 and standard deviation of 3, 
    such that higher values always correspond to better performance on the test. 
    The demographically adjusted scores are calculated from the residuals of a 
    model that regresses scaled scores on demographic predictors (e.g., age). 
    The norming procedure makes use of the mfp2() function from the 'mfp2' 
    package to explore nonlinear associations between cognition and demographic 
    variables.