Showing 12 of total 12 results (show query)
critical-infrastructure-systems-lab
mbr:Mass Balance Reconstruction
Mass-balance-adjusted Regression algorithm for streamflow reconstruction at sub-annual resolution (e.g., seasonal or monthly). The algorithm implements a penalty term to minimize the differences between the total sub-annual flows and the annual flow. The method is described in Nguyen et al (2020) <DOI:10.1002/essoar.10504791.1>.
Maintained by Hung Nguyen. Last updated 4 years ago.
55.0 match 1 stars 3.78 score 12 scripts
poissonconsulting
jmbr:Analyses Using JAGS
Facilitates analyses using 'Just Another Gibbs Sampler'.
Maintained by Joe Thorley. Last updated 1 months ago.
11.0 match 3 stars 4.98 score 5 scriptspoissonconsulting
embr:Model Builder Utility Functions and Virtual Classes
Utility functions and virtual classes shared by model builder packages such as tmbr, jmbr and smbr.
Maintained by Joe Thorley. Last updated 1 months ago.
11.0 match 3 stars 4.61 score 4 scripts 3 dependentspoissonconsulting
smbr:Facilitates Bayesian Analysis using STAN
Facilitates analyses using STAN.
Maintained by Joe Thorley. Last updated 2 months ago.
11.0 match 1 stars 3.10 score 4 scripts
rivolli
utiml:Utilities for Multi-Label Learning
Multi-label learning strategies and others procedures to support multi- label classification in R. The package provides a set of multi-label procedures such as sampling methods, transformation strategies, threshold functions, pre-processing techniques and evaluation metrics. A complete overview of the matter can be seen in Zhang, M. and Zhou, Z. (2014) <doi:10.1109/TKDE.2013.39> and Gibaja, E. and Ventura, S. (2015) A Tutorial on Multi-label Learning.
Maintained by Adriano Rivolli. Last updated 4 years ago.
5.3 match 28 stars 6.39 score 87 scriptspoissonconsulting
tmbr:Analyses Using TMB
Facilitates analyses using 'Template Model Builder'.
Maintained by Joe Thorley. Last updated 2 months ago.
11.0 match 2.78 score 4 scripts
bioc
RTNduals:Analysis of co-regulation and inference of 'dual regulons'
RTNduals is a tool that searches for possible co-regulatory loops between regulon pairs generated by the RTN package. It compares the shared targets in order to infer 'dual regulons', a new concept that tests whether regulators can co-operate or compete in influencing targets.
Maintained by Mauro Castro. Last updated 5 months ago.
generegulationgeneexpressionnetworkenrichmentnetworkinferencegraphandnetwork
6.9 match 3.78 score 2 scripts 1 dependents
kwb-r
kwb.pilot:Importing, Aggregating and Visualising Data From KWB Pilot Plants
Collects, aggregates and visualises operational and analytical data from water suppliers (including a standardised reporting document).
Maintained by Michael Rustler. Last updated 2 years ago.
data-aggregationdata-importdata-visualisationproject-aquanesproject-mbr40project-sulemanproject-ultimate
6.5 match 1 stars 4.01 score 17 scripts
phamdn
mbRes:Exploration of Multiple Biomarker Responses using Effect Size
Summarize multiple biomarker responses of aquatic organisms to contaminants using Cliff’s delta, as described in Pham & Sokolova (2023) <doi:10.1002/ieam.4676>.
Maintained by Duy Nghia Pham. Last updated 7 months ago.
7.8 match 3.00 score 1 scripts
ouhscbbmc
Wats:Wrap Around Time Series Graphics
Wrap-around Time Series (WATS) plots for interrupted time series designs with seasonal patterns. Longitudinal trajectories are shown in both Cartesian and polar coordinates. In many scenarios, a WATS plot more clearly shows the existence and effect size of of an intervention. This package accompanies "Graphical Data Analysis on the Circle: Wrap-Around Time Series Plots for (Interrupted) Time Series Designs" by Rodgers, Beasley, & Schuelke (2014) <doi:10.1080/00273171.2014.946589>; see 'citation("Wats")' for details.
Maintained by Will Beasley. Last updated 23 days ago.
graphical-analysisoklahoma-city-bombingpublicationseasonaltime-series
3.3 match 7 stars 6.14 score 44 scripts
simulatr
simrel:Simulation of Multivariate Linear Model Data
Researchers have been using simulated data from a multivariate linear model to compare and evaluate different methods, ideas and models. Additionally, teachers and educators have been using a simulation tool to demonstrate and teach various statistical and machine learning concepts. This package helps users to simulate linear model data with a wide range of properties by tuning few parameters such as relevant latent components. In addition, a shiny app as an 'RStudio' gadget gives users a simple interface for using the simulation function. See more on: Sæbø, S., Almøy, T., Helland, I.S. (2015) <doi:10.1016/j.chemolab.2015.05.012> and Rimal, R., Almøy, T., Sæbø, S. (2018) <doi:10.1016/j.chemolab.2018.02.009>.
Maintained by Raju Rimal. Last updated 2 years ago.
bivariate-simulationmultivariate-simulationrelevant-predictor-componentssimulated-datasimulationunivariate-simulation
3.5 match 3 stars 4.78 score 40 scriptskwb-r
kwb.ml:R Package with Functions, Workflows and Tutorials for Machine Learning at KWB
R Package with Functions, Workflows and Tutorials for Machine Learning at KWB.
Maintained by Michael Rustler. Last updated 3 years ago.
machine-learningproject-keysproject-mbr40
1.6 match 3.00 score 1 scripts