For when your colors absolutely should not be excluded from the narrative.

A collection of interactive 'shiny' applications for performing comprehensive analyses in the field of tree breeding and genetics. The package is designed to assist users in visualizing and interpreting experimental data through a user-friendly interface. Each application is launched via a simple function, and users can upload data in 'Excel' format for analysis. For more information, refer to Singh, R.K. and Chaudhary, B.D. (1977, ISBN:9788176633079).

Estimation of the survivor average causal effect under outcomes truncated by death, which requires the existence of a substitution variable. It can be applied to both experimental and observational data.

Functions are provided for prior specification in divergence time
    estimation using fossils as well as other kinds of data. It
    provides tools for interacting with the input and output of Bayesian
    platforms in evolutionary biology such as 'BEAST2', 'MrBayes', 'RevBayes',
    or 'MCMCTree'.
    It Implements a simple measure similarity between probability
    density functions for comparing prior and
    posterior Bayesian densities, as well as code for calculating the
    combination of distributions using conflation of Hill (2008). Functions for estimating the
    origination time in collections of distributions using the x-intercept (e.g., Draper and Smith, 1998) and
    stratigraphic intervals (Marshall 2010) are also available.
    Hill, T. 2008. "Conflations of probability distributions". Transactions of the American Mathematical Society, 363:3351-3372. <doi:10.48550/arXiv.0808.1808>,
    Draper, N. R. and Smith, H. 1998. "Applied Regression Analysis". 1--706. Wiley Interscience, New York. <DOI:10.1002/9781118625590>,
    Marshall, C. R. 2010. "Using confidence intervals to quantify the uncertainty in the end-points of stratigraphic ranges". Quantitative Methods in Paleobiology, 291--316. <DOI:10.1017/S1089332600001911>.

Our method introduces mathematically well-defined measures for tightness of branches in a hierarchical tree. Statistical significance of the findings is determined, for all branches of the tree, by performing permutation tests, optionally with generalized Pareto p-value estimation.