The Biodem package provides a number of functions for Biodemographic analysis.

Graphical User Interface (via the R-Commander) and utility functions (often based on the vegan package) for statistical analysis of biodiversity and ecological communities, including species accumulation curves, diversity indices, Renyi profiles, GLMs for analysis of species abundance and presence-absence, distance matrices, Mantel tests, and cluster, constrained and unconstrained ordination analysis. A book on biodiversity and community ecology analysis is available for free download from the website. In 2012, methods for (ensemble) suitability modelling and mapping were expanded in the package.

A tool to perform all different statistical tests and calculations
    needed by Biological dosimetry Laboratories. Detailed documentation is
    available in <https://biodosetools-team.github.io/documentation/>.

Multilevel ecological data series (MEDS) are sequences of observations ordered according to temporal/spatial hierarchies that are defined by sample designs, with sample variability confined to ecological factors. Dendroclimatic MEDS of tree rings and climate are modeled into normalized fluctuations of tree growth and aridity.  Modeled fluctuations (model frames) are compared with Mantel correlograms on multiple levels defined by sample design. Package implementation can be understood by running examples in modelFrame(), and muleMan() functions.

Fits simultaneous regression models to compare two sources
    (reference and test) and estimates relative bioefficiency. Includes
    simultaneous exponential model with common asymptote (model = 1),
    slope-ratio model (model = 2), quadratic model (model = 3),
    linear-response plateau model (model = 4), and Michaelis-Menten
    model (model = 5). Output style follows the 'easyreg' package.
    Methods are based on Finney (1978, ISBN:0-85264-252-0),
    Mercer et al. (1978) <doi:10.1093/jn/108.8.1244>,
    Robbins et al. (1979) <doi:10.1093/jn/109.10.1710>,
    Noll et al. (1984) <doi:10.3382/ps.0632458>,
    Gallant and Fuller (1973) <doi:10.1080/01621459.1973.10481356>,
    Littell et al. (1997) <doi:10.2527/1997.75102672x>, and
    Burnham and Anderson (2002, ISBN:978-0-387-95364-9).