This package provides tools for the complete camera trap data workflow in wildlife monitoring and ecological research. Reads and edits media metadata, filters independent detections, and standardises records for analysis. Measures diel activity and overlap (Ridout and Linkie (2009) <doi:10.1198/jabes.2009.08038>), directed short-term association between species with an encounter-response model (Hawkes (1971) <doi:10.1093/biomet/58.1.83>), seasonal shifts in activity, spatial coverage of detections, and species diversity. Estimates density or abundance of unmarked populations with several methods, including the random encounter model, camera trap distance sampling, time-to-event, space-to-event, instantaneous sampling, and the random encounter and staying-time model (see Rowcliffe et al. (2008) <doi:10.1111/j.1365-2664.2008.01473.x>, Howe et al. (2017) <doi:10.1111/2041-210X.12790>, Moeller et al. (2018) <doi:10.1002/ecs2.2331>, and Nakashima et al. (2018) <doi:10.1111/1365-2664.13059>).
Reduced-rank regression, diagnostics and graphics.
R implementation of the common parsing tools lex and yacc'.
This package lets you rarefy data, calculate diversity and plot the results.
Play the classic game of tic-tac-toe (naughts and crosses).
Extract the implied risk neutral density from options using various methods.
Probabilistic analysis of probe reliability and differential gene expression on short oligonucleotide arrays.
DBI/RJDBC interface to h2 database. h2 version 2.3.232 is included.
The rpx package implements an interface to proteomics data submitted to the ProteomeXchange consortium.
The ROI is a framework for handling optimization problems in R.
This package provides utilities for Receiver Operating Characteristic (ROC) curves, with a focus on micro arrays.
Deprecated.
This package provides tools for shrunken centroids regularized discriminant analysis for the purpose of classifying high dimensional data.
This package provides a report of statistical findings (RSF) project template is generated using a Quarto book.
Finds a robust instrumental variables estimator using a high breakdown point S-estimator of multivariate location and scatter matrix.
Use A Resampling-Based Empirical Bayes Approach to Assess Differential Expression in Two-Color Microarrays and RNA-Seq data sets.
Bayesian Linear Regression.
Automatically apply different strategies to optimize R code. rco functions take R code as input, and returns R code as output.
Reads in continuous glucose monitor data of many different formats, calculates a host of glycemic variability metrics, and plots glucose over time.
The evaluation criteria of rangeland health, condition and landscape function analysis based on species diversity and functional diversity of rangeland plant communities.
Download and parse public files released by B3 and convert them into useful formats and data structures common to data analysis practitioners.
Flexible statistical modelling using a modular framework for regression, in which groups of transformations are composed together and act on probability distributions.
Build experience life tables.
FLR algorithm for classification.