vegan - Community Ecology Package

Ordination methods, diversity analysis and other functions for community and vegetation ecologists.

Last updated 20 days ago

ecological-modellingecologyordination

442 stars 11.08 score 7 dependencies 419 dependents

pbapply - Adding Progress Bar to '*apply' Functions

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. Supports several parallel processing backends including future.

Last updated 2 months ago

progress-bar

154 stars 11.05 score 0 dependencies 619 dependents

ResourceSelection - Resource Selection (Probability) Functions for Use-Availability Data

Resource Selection (Probability) Functions for use-availability wildlife data based on weighted distributions as described in Lele and Keim (2006) <doi:10.1890/0012-9658(2006)87%5B3021:WDAEOR%5D2.0.CO;2>, Lele (2009) <doi:10.2193/2007-535>, and Solymos & Lele (2016) <doi:10.1111/2041-210X.12432>.

Last updated 4 months ago

ecologyestimationlelersfrspfsolymosweighted-distributions

9 stars 4.42 score 4 dependencies 3 dependents

dclone - Data Cloning and MCMC Tools for Maximum Likelihood Methods

Low level functions for implementing maximum likelihood estimating procedures for complex models using data cloning and Bayesian Markov chain Monte Carlo methods as described in Solymos 2010 <doi:10.32614/RJ-2010-011>. Sequential and parallel MCMC support for 'JAGS', 'WinBUGS', 'OpenBUGS', and 'Stan'.

Last updated 1 years ago

7 stars 2.96 score 56 dependencies 4 dependents

dclone - Data Cloning and MCMC Tools for Maximum Likelihood Methods

Low level functions for implementing maximum likelihood estimating procedures for complex models using data cloning and Bayesian Markov chain Monte Carlo methods as described in Solymos 2010 <doi:10.32614/RJ-2010-011>. Sequential and parallel MCMC support for 'JAGS', 'WinBUGS', 'OpenBUGS', and 'Stan'.

Last updated 1 years ago

7 stars 2.96 score 56 dependencies 4 dependents

intrval - Relational Operators for Intervals

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.

Last updated 4 months ago

closed-intervalsinterval-endpointsinterval-operatorsnegationopen-intervals

41 stars 2.96 score 0 dependencies 1 dependents

deps - Dependency Management with 'roxygen'-Style Comments

Manage your source code dependencies by decorating your existing R code with special, 'roxygen'-style comments.

Last updated 2 months ago

dependenciespackagesreproducibility

30 stars 2.67 score 3 dependencies

deps - Dependency Management with 'roxygen'-Style Comments

Manage your source code dependencies by decorating your existing R code with special, 'roxygen'-style comments.

Last updated 2 months ago

dependenciespackagesreproducibility

30 stars 2.67 score 3 dependencies

rconfig - Manage R Configuration at the Command Line

Configuration management using files (YAML, JSON, INI, TXT), JSON strings, and command line arguments. Command line arguments can be used to override configuration. Period-separated command line flags are parsed as hierarchical lists. Environment variables, R global variables, and configuration values can be substituted.

Last updated 1 years ago

cliconfigjsonyaml

26 stars 2.32 score 2 dependencies

rconfig - Manage R Configuration at the Command Line

Configuration management using files (YAML, JSON, INI, TXT), JSON strings, and command line arguments. Command line arguments can be used to override configuration. Period-separated command line flags are parsed as hierarchical lists. Environment variables, R global variables, and configuration values can be substituted.

Last updated 1 years ago

cliconfigjsonyaml

26 stars 2.31 score 2 dependencies

detect - Analyzing Wildlife Data with Detection Error

Models for analyzing site occupancy and count data models with detection error, including single-visit based models (Lele et al. 2012 <doi:10.1093/jpe/rtr042>, Moreno et al. 2010 <doi:10.1890/09-1073.1>, Solymos et al. 2012 <doi:10.1002/env.1149>, Denes et al. 2016 <doi:10.1111/1365-2664.12818>), conditional distance sampling and time-removal models (Solymos et al. 2013 <doi:10.1111/2041-210X.12106>, Solymos et al. 2018 <doi:10.1650/CONDOR-18-32.1>). Package development was supported by the Alberta Biodiversity Monitoring Institute and the Boreal Avian Modelling Project.

Last updated 4 months ago

5 stars 2.20 score 4 dependencies

clickrup - Interacting with the ClickUp v2 API from R

Work with the ClickUp productivity app from R to manage tasks, goals, time tracking, and more.

Last updated 8 months ago

apiclickupclickup-apiproject-management

18 stars 1.80 score 9 dependencies

mefa - Multivariate Data Handling in Ecology and Biogeography

A framework package aimed to provide standardized computational environment for specialist work via object classes to represent the data coded by samples, taxa and segments (i.e. subpopulations, repeated measures). It supports easy processing of the data along with cross tabulation and relational data tables for samples and taxa. An object of class `mefa' is a project specific compendium of the data and can be easily used in further analyses. Methods are provided for extraction, aggregation, conversion, plotting, summary and reporting of `mefa' objects. Reports can be generated in plain text or LaTeX format. Vignette contains worked examples.

Last updated 4 months ago

2 stars 1.68 score 0 dependencies 2 dependents

PublicationBias - Sensitivity Analysis for Publication Bias in Meta-Analyses

Performs sensitivity analysis for publication bias in meta-analyses (per Mathur & VanderWeele, 2020 [<doi:10.31219/osf.io/s9dp6>]). These analyses enable statements such as: "For publication bias to shift the observed point estimate to the null, 'significant' results would need to be at least 30-fold more likely to be published than negative or 'nonsignificant' results." Comparable statements can be made regarding shifting to a chosen non-null value or shifting the confidence interval. Provides a worst-case meta-analytic point estimate under maximal publication bias obtained simply by conducting a standard meta-analysis of only the negative and "nonsignificant" studies.

Last updated 1 years ago

1.54 score 40 dependencies

metabias - Meta-Analysis for Within-Study and/or Across-Study Biases

Provides common components (classes, methods, documentation) for packages that conduct meta-analytic corrections and sensitivity analyses for within-study and/or across-study biases in meta-analysis. See the packages 'PublicationBias', 'phacking', and 'multibiasmeta'. These package implement methods described in, respectively: Mathur & VanderWeele (2020) <doi:10.31219/osf.io/s9dp6>; Mathur (2022) <doi:10.31219/osf.io/ezjsx>; Mathur (2022) <doi:10.31219/osf.io/u7vcb>.

Last updated 1 years ago

1.47 score 2 dependencies 3 dependents

bSims - Agent-Based Bird Point Count Simulator

A highly scientific and utterly addictive bird point count simulator to test statistical assumptions, aid survey design, and have fun while doing it (Solymos 2024 <doi:10.1007/s42977-023-00183-2>). The simulations follow time-removal and distance sampling models based on Matsuoka et al. (2012) <doi:10.1525/auk.2012.11190>, Solymos et al. (2013) <doi:10.1111/2041-210X.12106>, and Solymos et al. (2018) <doi:10.1650/CONDOR-18-32.1>, and sound attenuation experiments by Yip et al. (2017) <doi:10.1650/CONDOR-16-93.1>.

Last updated 4 months ago

biasbirdsdetectabilityshinysimulationsurvey-design

4 stars 1.34 score 7 dependencies

mefa4 - Multivariate Data Handling with S4 Classes and Sparse Matrices

An S4 update of the 'mefa' package using sparse matrices for enhanced efficiency. Sparse array-like objects are supported via lists of sparse matrices.

Last updated 4 months ago

data-manipulationecologysparse-matrices

1.28 score 2 dependencies 2 dependents

dcmle - Hierarchical Models Made Easy with Data Cloning

S4 classes around infrastructure provided by the 'coda' and 'dclone' packages to make package development easy as a breeze with data cloning for hierarchical models.

Last updated 4 months ago

1.27 score 57 dependencies 2 dependents

dcmle - Hierarchical Models Made Easy with Data Cloning

S4 classes around infrastructure provided by the 'coda' and 'dclone' packages to make package development easy as a breeze with data cloning for hierarchical models.

Last updated 4 months ago

1.27 score 57 dependencies 2 dependents

tryr - Client/Server Error Handling for HTTP API Frameworks

Differentiate client errors (4xx) from server errors (5xx) for the 'plumber' and 'RestRserve' HTTP API frameworks. The package also includes a built-in logging mechanism to standard output (STDOUT) or standard error (STDERR) depending on the log level.

Last updated 4 months ago

3 stars 1.11 score 0 dependencies

PVAClone - Population Viability Analysis with Data Cloning

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.

Last updated 4 months ago

1 stars 0.94 score 58 dependencies

opticut - Likelihood Based Optimal Partitioning and Indicator Species Analysis

Likelihood based optimal partitioning and indicator species analysis. Finding the best binary partition for each species based on model selection, with the possibility to take into account modifying/confounding variables as described in Kemencei et al. (2014) <doi:10.1556/ComEc.15.2014.2.6>. The package implements binary and multi-level response models, various measures of uncertainty, Lorenz-curve based thresholding, with native support for parallel computations.

Last updated 4 months ago

ecologyindicator-species-analysislikelihoodoptimal-partitioningspecies

2 stars 0.93 score 15 dependencies

phacking - Sensitivity Analysis for p-Hacking in Meta-Analyses

Fits right-truncated meta-analysis (RTMA), a bias correction for the joint effects of p-hacking (i.e., manipulation of results within studies to obtain significant, positive estimates) and traditional publication bias (i.e., the selective publication of studies with significant, positive results) in meta-analyses [see Mathur MB (2022). "Sensitivity analysis for p-hacking in meta-analyses." <doi:10.31219/osf.io/ezjsx>.]. Unlike publication bias alone, p-hacking that favors significant, positive results (termed "affirmative") can distort the distribution of affirmative results. To bias-correct results from affirmative studies would require strong assumptions on the exact nature of p-hacking. In contrast, joint p-hacking and publication bias do not distort the distribution of published nonaffirmative results when there is stringent p-hacking (e.g., investigators who hack always eventually obtain an affirmative result) or when there is stringent publication bias (e.g., nonaffirmative results from hacked studies are never published). This means that any published nonaffirmative results are from unhacked studies. Under these assumptions, RTMA involves analyzing only the published nonaffirmative results to essentially impute the full underlying distribution of all results prior to selection due to p-hacking and/or publication bias. The package also provides diagnostic plots described in Mathur (2022).

Last updated 1 years ago

1 stars 0.93 score 64 dependencies

truncnormbayes - Estimates Moments for a Truncated Normal Distribution using 'Stan'

Finds the posterior modes for the mean and standard deviation for a truncated normal distribution with one or two known truncation points. The method used extends Bayesian methods for parameter estimation for a singly truncated normal distribution under the Jeffreys prior (see Zhou X, Giacometti R, Fabozzi FJ, Tucker AH (2014). "Bayesian estimation of truncated data with applications to operational risk measurement". <doi:10.1080/14697688.2012.752103>). This package additionally allows for a doubly truncated normal distribution.

Last updated 1 years ago

0.93 score 55 dependencies

sharx - Models and Data Sets for the Study of Species-Area Relationships

Hierarchical models for the analysis of species-area relationships (SARs) by combining several data sets and covariates; with a global data set combining individual SAR studies; as described in Solymos and Lele (2012) <doi:10.1111/j.1466-8238.2011.00655.x>.

Last updated 4 months ago

1 stars 0.84 score 59 dependencies

multibiasmeta - Sensitivity Analysis for Multiple Biases in Meta-Analyses

Meta-analyses can be compromised by studies' internal biases (e.g., confounding in nonrandomized studies) as well as by publication bias. This package conducts sensitivity analyses for the joint effects of these biases (per Mathur (2022) <doi:10.31219/osf.io/u7vcb>). These sensitivity analyses address two questions: (1) For a given severity of internal bias across studies and of publication bias, how much could the results change?; and (2) For a given severity of publication bias, how severe would internal bias have to be, hypothetically, to attenuate the results to the null or by a given amount?

Last updated 1 years ago

0.84 score 48 dependencies

moosecounter - Adaptive Moose Surveys

Adaptive Moose surveys.

Last updated 7 months ago

shiny

3 stars 0.82 score 65 dependencies

EDMAinR - Euclidean Distance Matrix Analysis in R

A coordinate-free approach for comparing biological shapes using landmark data based on Lele and Richtsmeier (1991) <doi:10.1002/ajpa.1330860307>.

Last updated 1 years ago

comparing-biological-shapescoordinate-freelandmark-datamorphometricsmultivariate-statistics

3 stars 0.49 score 52 dependencies

cure4insect - Custom Reporting for Intactness and Sector Effects

Decision support tool that provides an interface to enable custom reporting for intactness and sector effects based on estimates and predictions created by the Alberta Biodiversity Monitoring Institute (ABMI) in collaboration with the Boreal Avian Modelling (BAM) Project.

Last updated 2 years ago

4 stars 0.49 score 12 dependencies

allinone - All-in-on Model Based Custom Predictions for Alberta

Decision support tool that provides an interface to enable custom predictions based on estimates created by the Alberta Biodiversity Monitoring Institute (ABMI) in collaboration with the Boreal Avian Modelling (BAM) Project.

Last updated 3 years ago

species-distribution-models

1 stars 0.23 score 2 dependencies

abmidata - Accessing Public Data from the ABMI

Public data from the Alberta Biodiversity Monitoring Institute.

Last updated 3 years ago

internal-tool

2 stars 0.23 score 8 dependencies

WildLift - An Open-source Tool to Guide Decisions for Wildlife Conservation

Compare alternative recovery actions: Linear Feature Restoration, Linear Feature Deactivation, Maternal Penning, Conservation Breeding, Predator Exclosure, Wolf Reduction, and Moose Reduction. Quantifying the trade-offs associated with alternative recovery actions for threatened species. The tool consists of a generalized matrix population model that is parametrized based on information from the published literature or ongoing experiments. Users can input population parameters (e.g., population size and survival rates) or choose from pre-set caribou subpopulations to estimate changes to populations from implementing recovery actions as described in Nagy-Reis et al. (2020) <doi:10.3389/fevo.2020.564508>.

Last updated 3 years ago

0.09 score 1 dependencies

lhreg - Phylogeny and Species Trait Effects on Detectability

Phylogeny and species trait effects on detectability, supporting material for the manuscript entitled 'Phylogeny and species traits predict songbird detectability' by Solymos, Matsuoka, Stralberg, Bayne, and Barker.

Last updated 7 years ago

birdsborealdetectabilityecologyphylogenyspecies-trait-effects

1 stars 0.09 score 5 dependencies

KnockKnockJokes - Knock-Knock Jokes

An S4 exercise for Knock-Knock Joke lovers.

Last updated 8 years ago

1 stars 0.09 score 0 dependencies

bananas - Data Set of Ripening Bananas

Color information about ripening bananas over 21 days.

Last updated 1 years ago

0.00 score 0 dependencies

paired - Example point count data set with paired human and ARU data

Data set from Van Wilgenburg et al. 2016 <doi:10.5751/ACE-00975-120113>.

Last updated 6 years ago

0.00 score 0 dependencies

QPAD - QPAD estimates

QPAD.

Last updated 7 years ago

0.00 score 0 dependencies