0. Quasi-likelihood parameter estimation- The package provides methods for parameter estimation for statistical models that can be simulated. We follow a quasi-likelihood approach to estimate the unknown parameter by the root of the so-called quasi-score estimating function.
6. grainscape- Create grains of connectivity and minimum planar graph models to calculate effective distances for landscape connectivity at multiple scales.
**Development of this package has moved to GitHub (https://achubaty.github.io/grainscape).**
Topic : Spatial Data & Statistics : Ecological Analysis [Filter]
Registered: 2012-03-07 12:18
7. move: analyze animal movement data- move is a package that contains functions to access movement data stored in movebank.org as well as tools to visualize and statistically analyse animal movement data. Move addresses movement ecological questions.
9. readcsvcolumns- This package provides a single R function called read.csv.columns with which you can read a CSV file. You also need to specify beforehand what type each column is (integers, real values or strings) and you can also mark columns to be ignored.
11. Clustericat- This package performs clustering for categorical data-set by the conditional correlated mixture model. It contains a function clusteringcat() performing the clustering on categorical data-set and returns object of appropriate class.
12. Bayesian Biclustering- This package uses a Bayesian spike-and-slab model to construct bidendrograms using log posterior as the natural distance defined by the model and calculates importance using log Bayes factor.
13. Test for point containment in polyhedron- This project provides a function to test whether a point is contained within a closed three-dimensional polyhedron, defined by a triangular mesh. A two-dimensional version for polygons is also provided.
14. Distance Weighted Discrimination (DWD)- Distance Weighted Discrimination (DWD) is a machine learning tool similar to SVM but with better breakdown properties as the number of variables increases in relationship to the number of observations.