Showing 5 of total 5 results (show query)
gavinsimpson
analogue:Analogue and Weighted Averaging Methods for Palaeoecology
Fits Modern Analogue Technique and Weighted Averaging transfer function models for prediction of environmental data from species data, and related methods used in palaeoecology.
Maintained by Gavin L. Simpson. Last updated 6 months ago.
14 stars 8.87 score 185 scripts 4 dependents
cran
CUB:A Class of Mixture Models for Ordinal Data
For ordinal rating data, estimate and test models within the family of CUB models and their extensions (where CUB stands for Combination of a discrete Uniform and a shifted Binomial distributions); Simulation routines, plotting facilities and fitting measures are also provided.
Maintained by Rosaria Simone. Last updated 1 years ago.
3.48 score 1 dependents
carlosp-carmona
TPD:Methods for Measuring Functional Diversity Based on Trait Probability Density
Tools to calculate trait probability density functions (TPD) at any scale (e.g. populations, species, communities). TPD functions are used to compute several indices of functional diversity, as well as its partition across scales. These indices constitute a unified framework that incorporates the underlying probabilistic nature of trait distributions into uni- or multidimensional functional trait-based studies. See Carmona et al. (2016) <doi:10.1016/j.tree.2016.02.003> for further information.
Maintained by Carlos P. Carmona. Last updated 6 years ago.
2 stars 3.42 score 33 scripts
christopherkenny
divseg:Calculate Diversity and Segregation Indices
Implements common measures of diversity and spatial segregation. This package has tools to compute the majority of measures are reviewed in Massey and Denton (1988) <doi:10.2307/2579183>. Multiple common measures of within-geography diversity are implemented as well. All functions operate on data frames with a 'tidyselect' based workflow.
Maintained by Christopher T. Kenny. Last updated 10 months ago.
1 stars 2.78 score 12 scriptscran
FastCUB:Fast Estimation of CUB Models via Louis' Identity
For ordinal rating data, consider the accelerated EM algorithm to estimate and test models within the family of CUB models (where CUB stands for Combination of a discrete Uniform and a shifted Binomial distributions). The procedure is built upon Louis' identity for the observed information matrix. Best-subset variable selection is then implemented since it becomes more feasible from the computational point of view.
Maintained by Rosaria Simone. Last updated 1 years ago.
1 stars 1.00 score