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Finding the best binary partition for each species based on model selection, possibly controlling for modifying/confounding variables.
Evaluating if values of vectors are within different open/closed intervals ('x %[]% c(a, b)'), or if two closed intervals overlap ('c(a1, b1) %[o]% c(a2, b2)'). Operators for negation and directional relations also implemented.
A lightweight package that adds progress bar to vectorized R functions ('*apply'). The implementation can easily be added to functions where showing the progress is useful (e.g. bootstrap). The type and style of the progress bar (with percentages or remaining time) can be set through options.
Ordination methods, diversity analysis and other functions for community and vegetation ecologists. A collaborative project with Jari Oksanen as lead developer. Contributing to the package with diversity analysis and community nullmodels.
Resource Selection (Probability) Functions for use-availability wildlife data.
Multivariate data handling using sparse matrices for big data problems.
Analyzing wildlife data with detection error. Zero inflated models for single visit data when the probability of detection is less than one. Provides hands-on formula interface with inferences based on numerical optimization and data cloning
Low level functions for implementing maximum likelihood estimating procedures for complex models using data cloning and Bayesian Markov chain Monte Carlo methods with support for JAGS, WinBUGS, OpenBUGS (and STAN). It contains features for parallel computing. Read mode on datacloning.org
Hierarchical models made easy with data cloning: S4 classes around infrastructure provided by the dclone package to make package development with data cloning for hierarchical models easy as a breeze. Read mode on datacloning.org
Likelihood based population viability analysis in the presence of observation error and missing data. The package can be used to fit, compare, predict, and forecast various growth model types using data cloning.
Data sets and models for the sudy of species-area relationships.
Standardized computational environment for ecological data manipulation.
The intrval R package is lightweight (~11K), standalone (apart from importing from graphics, has exactly 0 non-base dependency), and it has a very narrow scope: it implements relational operators for intervals — very well aligned with the tiny manifesto. In this post we will explore the use of the package in two shiny apps with sliders.
ABMI (6) ARU (1) C (1) CRAN (1) Hungary (2) JOSM (2) PVA (2) PVAClone (1) QPAD (1) R (19) R packages (1) bioacoustics (1) biodiversity (1) birds (2) course (2) data (1) data cloning (4) dclone (3) dependencies (1) detect (2) detectability (1) footprint (3) forecasting (1) functions (3) intrval (4) lhreg (1) mefa4 (1) monitoring (2) pbapply (5) phylogeny (1) plyr (1) poster (2) processing time (2) progress bar (4) publications (2) report (1) sector effects (1) shiny (1) single visit (1) site (1) slider (1) slides (2) special (3) species (1) trend (1) tutorials (2) video (4)