Showing 18 of total 18 results (show query)
cran
drc:Analysis of Dose-Response Curves
Analysis of dose-response data is made available through a suite of flexible and versatile model fitting and after-fitting functions.
Maintained by Christian Ritz. Last updated 9 years ago.
10.7 match 8 stars 8.39 score 1.4k scripts 28 dependents
ltorgo
DMwR2:Functions and Data for the Second Edition of "Data Mining with R"
Functions and data accompanying the second edition of the book "Data Mining with R, learning with case studies" by Luis Torgo, published by CRC Press.
Maintained by Luis Torgo. Last updated 8 years ago.
10.6 match 27 stars 7.46 score 380 scripts 2 dependents
cvasi-tktd
cvasi:Calibration, Validation, and Simulation of TKTD Models
Eases the use of ecotoxicological effect models. Can simulate common toxicokinetic-toxicodynamic (TK/TD) models such as General Unified Threshold models of Survival (GUTS) and Lemna. It can derive effects and effect profiles (EPx) from scenarios. It supports the use of 'tidyr' workflows employing the pipe symbol. Time-consuming tasks can be parallelized.
Maintained by Nils Kehrein. Last updated 4 days ago.
ecotoxicologymodelingsimulation
11.9 match 2 stars 6.26 score 12 scripts
bioc
LOBSTAHS:Lipid and Oxylipin Biomarker Screening through Adduct Hierarchy Sequences
LOBSTAHS is a multifunction package for screening, annotation, and putative identification of mass spectral features in large, HPLC-MS lipid datasets. In silico data for a wide range of lipids, oxidized lipids, and oxylipins can be generated from user-supplied structural criteria with a database generation function. LOBSTAHS then applies these databases to assign putative compound identities to features in any high-mass accuracy dataset that has been processed using xcms and CAMERA. Users can then apply a series of orthogonal screening criteria based on adduct ion formation patterns, chromatographic retention time, and other properties, to evaluate and assign confidence scores to this list of preliminary assignments. During the screening routine, LOBSTAHS rejects assignments that do not meet the specified criteria, identifies potential isomers and isobars, and assigns a variety of annotation codes to assist the user in evaluating the accuracy of each assignment.
Maintained by Henry Holm. Last updated 5 months ago.
immunooncologymassspectrometrymetabolomicslipidomicsdataimportadductalgaebioconductorhplc-esi-mslipidmass-spectrometryoxidative-stress-biomarkersoxidized-lipidsoxylipinsplankton
10.0 match 8 stars 6.56 score 9 scripts
avehtari
aaltobda:Functionality and Data for the Aalto Course on Bayesian Data Analysis
Functionality and Data for the Aalto University Course on Bayesian Data Analysis.
Maintained by Aki Vehtari. Last updated 3 months ago.
bayesbayesianbayesian-data-analysisbayesian-inferencebayesian-methodsbayesian-workflow
6.0 match 2.2k stars 8.93 score 159 scripts
msalibian
RobStatTM:Robust Statistics: Theory and Methods
Companion package for the book: "Robust Statistics: Theory and Methods, second edition", <http://www.wiley.com/go/maronna/robust>. This package contains code that implements the robust estimators discussed in the recent second edition of the book above, as well as the scripts reproducing all the examples in the book.
Maintained by Matias Salibian-Barrera. Last updated 3 days ago.
robustrobust-estimationrobust-regressionrobust-statisticsrobustnessstatisticsfortranopenblas
4.5 match 17 stars 10.23 score 84 scripts 8 dependents
middleton-lab
abd:The Analysis of Biological Data
The abd package contains data sets and sample code for The Analysis of Biological Data by Michael Whitlock and Dolph Schluter (2009; Roberts & Company Publishers).
Maintained by Kevin M. Middleton. Last updated 11 months ago.
8.1 match 6 stars 5.53 score 182 scripts 1 dependentsbioc
planttfhunter:Identification and classification of plant transcription factors
planttfhunter is used to identify plant transcription factors (TFs) from protein sequence data and classify them into families and subfamilies using the classification scheme implemented in PlantTFDB. TFs are identified using pre-built hidden Markov model profiles for DNA-binding domains. Then, auxiliary and forbidden domains are used with DNA-binding domains to classify TFs into families and subfamilies (when applicable). Currently, TFs can be classified in 58 different TF families/subfamilies.
Maintained by Fabrício Almeida-Silva. Last updated 5 months ago.
softwaretranscriptionfunctionalpredictiongenomeannotationfunctionalgenomicshiddenmarkovmodelsequencingclassificationfunctional-genomicsgene-familieshidden-markov-modelsplant-genomicsplantsprotein-domainstranscription-factors
9.9 match 4.00 score 5 scripts
kwstat
pals:Color Palettes, Colormaps, and Tools to Evaluate Them
A comprehensive collection of color palettes, colormaps, and tools to evaluate them. See Kovesi (2015) <doi:10.48550/arXiv.1509.03700>.
Maintained by Kevin Wright. Last updated 9 days ago.
2.3 match 83 stars 11.39 score 2.1k scripts 8 dependentscran
metRology:Support for Metrological Applications
Provides classes and calculation and plotting functions for metrology applications, including measurement uncertainty estimation and inter-laboratory metrology comparison studies.
Maintained by Stephen L R Ellison. Last updated 2 months ago.
3.3 match 5 stars 4.77 score 223 scripts 7 dependents
iembry
ie2miscdata:Irucka Embry's Miscellaneous USGS Data Collection
A collection of Irucka Embry's miscellaneous USGS data sets (USGS Parameter codes with fixed values, USGS global time zone codes, and US Air Force Global Engineering Weather Data). Irucka created these data sets while a Cherokee Nation Technology Solutions (CNTS) United States Geological Survey (USGS) Contractor and/or USGS employee.
Maintained by Irucka Embry. Last updated 2 years ago.
3.6 match 4.00 score
jmzobitz
demodelr:Simulating Differential Equations with Data
Designed to support the visualization, numerical computation, qualitative analysis, model-data fusion, and stochastic simulation for autonomous systems of differential equations. Euler and Runge-Kutta methods are implemented, along with tools to visualize the two-dimensional phaseplane. Likelihood surfaces and a simple Markov Chain Monte Carlo parameter estimator can be used for model-data fusion of differential equations and empirical models. The Euler-Maruyama method is provided for simulation of stochastic differential equations. The package was originally written for internal use to support teaching by Zobitz, and refined to support the text "Exploring modeling with data and differential equations using R" by John Zobitz (2021) <https://jmzobitz.github.io/ModelingWithR/index.html>.
Maintained by John Zobitz. Last updated 19 hours ago.
3.8 match 4 stars 3.34 score 11 scripts
nschuwirth
streambugs:Parametric Ordinary Differential Equations Model of Growth, Death, and Respiration of Macroinvertebrate and Algae Taxa
Numerically solve and plot solutions of a parametric ordinary differential equations model of growth, death, and respiration of macroinvertebrate and algae taxa dependent on pre-defined environmental factors. The model (version 1.0) is introduced in Schuwirth, N. and Reichert, P., (2013) <DOI:10.1890/12-0591.1>. This package includes model extensions and the core functions introduced and used in Schuwirth, N. et al. (2016) <DOI:10.1111/1365-2435.12605>, Kattwinkel, M. et al. (2016) <DOI:10.1021/acs.est.5b04068>, Mondy, C. P., and Schuwirth, N. (2017) <DOI:10.1002/eap.1530>, and Paillex, A. et al. (2017) <DOI:10.1111/fwb.12927>.
Maintained by Nele Schuwirth. Last updated 1 years ago.
3.2 match 2.81 score 13 scripts
agroscope-ch
OpenFoodTox:EFSA OpenFoodTox Data Made Accessible as an R Package
Provides convenient access to data extracted from some of the spreadsheet files made available by the chemical hazards database of the European Food Safety Authority (EFSA), accessible via <https://www.efsa.europa.eu/en/data-report/chemical-hazards-database-openfoodtox>.
Maintained by Johannes Ranke. Last updated 8 months ago.
2.0 match 1 stars 3.48 score 2 scripts
rajohansen
waterquality:Satellite Derived Water Quality Detection Algorithms
The main purpose of waterquality is to quickly and easily convert satellite-based reflectance imagery into one or many well-known water quality algorithms designed for the detection of harmful algal blooms or the following pigment proxies: chlorophyll-a, blue-green algae (phycocyanin), and turbidity. Johansen et al. (2019) <doi:10.21079/11681/35053>.
Maintained by Richard Johansen. Last updated 12 months ago.
algal-bloomalgorithmslandsat-8merismodisolciremote-sensingsentinel-2water-quality
0.5 match 43 stars 5.96 score 21 scripts
daijiang
neonDivData:Standardized NEON Organismal Data for Biodiversity Research
Cleaned, simplified, and standardized NEON organismal data for biodiversity research. The following taxonomic groups are included so far: algae, beetles, birds, fish, herptiles, macroinvertebrates, mosquitoes, plants, small_mammals, ticks, tick_pathogens, and zooplankton. NEON input data (<https://data.neonscience.org>) were processed and standardized using R package `ecocomDP` (<https://github.com/EDIorg/ecocomDP>).
Maintained by Daijiang Li. Last updated 10 months ago.
0.5 match 15 stars 4.36 score 17 scripts