Showing 61 of total 61 results (show query)
dwulff
text2sdg:Detecting UN Sustainable Development Goals in Text
The United Nations’ Sustainable Development Goals (SDGs) have become an important guideline for organisations to monitor and plan their contributions to social, economic, and environmental transformations. The 'text2sdg' package is an open-source analysis package that identifies SDGs in text using scientifically developed query systems, opening up the opportunity to monitor any type of text-based data, such as scientific output or corporate publications. For more information regarding the methodology see Meier, Mata & Wulff (2022) <arXiv:2110.05856>.
Maintained by Dominik S. Meier. Last updated 6 months ago.
natural-language-processingsustainabilitysustainable-developmentsustainable-development-goals
32.2 match 18 stars 6.13 score 9 scripts
mapme-initiative
mapme.biodiversity:Efficient Monitoring of Global Biodiversity Portfolios
Biodiversity areas, especially primary forest, serve a multitude of functions for local economy, regional functionality of the ecosystems as well as the global health of our planet. Recently, adverse changes in human land use practices and climatic responses to increased greenhouse gas emissions, put these biodiversity areas under a variety of different threats. The present package helps to analyse a number of biodiversity indicators based on freely available geographical datasets. It supports computational efficient routines that allow the analysis of potentially global biodiversity portfolios. The primary use case of the package is to support evidence based reporting of an organization's effort to protect biodiversity areas under threat and to identify regions were intervention is most duly needed.
Maintained by Darius A. Görgen. Last updated 3 months ago.
environmenteogismapmespatialsustainability
10.0 match 35 stars 9.24 score 287 scripts
openintrostat
openintro:Datasets and Supplemental Functions from 'OpenIntro' Textbooks and Labs
Supplemental functions and data for 'OpenIntro' resources, which includes open-source textbooks and resources for introductory statistics (<https://www.openintro.org/>). The package contains datasets used in our open-source textbooks along with custom plotting functions for reproducing book figures. Note that many functions and examples include color transparency; some plotting elements may not show up properly (or at all) when run in some versions of Windows operating system.
Maintained by Mine Çetinkaya-Rundel. Last updated 2 months ago.
7.3 match 240 stars 11.39 score 6.0k scripts
yingjie4science
SDGdetector:Detect SDGs and Targets in Text
Identify 17 Sustainable Development Goals and associated 169 targets in text.
Maintained by Yingjie Li. Last updated 6 months ago.
sdgsdgssustainabilitysustainable-development-goalstext-mining
17.2 match 14 stars 4.15 score 10 scripts
ropensci
stplanr:Sustainable Transport Planning
Tools for transport planning with an emphasis on spatial transport data and non-motorized modes. The package was originally developed to support the 'Propensity to Cycle Tool', a publicly available strategic cycle network planning tool (Lovelace et al. 2017) <doi:10.5198/jtlu.2016.862>, but has since been extended to support public transport routing and accessibility analysis (Moreno-Monroy et al. 2017) <doi:10.1016/j.jtrangeo.2017.08.012> and routing with locally hosted routing engines such as 'OSRM' (Lowans et al. 2023) <doi:10.1016/j.enconman.2023.117337>. The main functions are for creating and manipulating geographic "desire lines" from origin-destination (OD) data (building on the 'od' package); calculating routes on the transport network locally and via interfaces to routing services such as <https://cyclestreets.net/> (Desjardins et al. 2021) <doi:10.1007/s11116-021-10197-1>; and calculating route segment attributes such as bearing. The package implements the 'travel flow aggregration' method described in Morgan and Lovelace (2020) <doi:10.1177/2399808320942779> and the 'OD jittering' method described in Lovelace et al. (2022) <doi:10.32866/001c.33873>. Further information on the package's aim and scope can be found in the vignettes and in a paper in the R Journal (Lovelace and Ellison 2018) <doi:10.32614/RJ-2018-053>, and in a paper outlining the landscape of open source software for geographic methods in transport planning (Lovelace, 2021) <doi:10.1007/s10109-020-00342-2>.
Maintained by Robin Lovelace. Last updated 7 months ago.
cyclecyclingdesire-linesorigin-destinationpeer-reviewedpubic-transportroute-networkroutesroutingspatialtransporttransport-planningtransportationwalking
5.1 match 427 stars 12.31 score 684 scripts 3 dependents
open-and-sustainable
prismaid:Open Science AI Tools for Systematic, Protocol-Based Literature Reviews
prismAId uses generative AI models to extract data from scientific literature. It offers simple-to-use, efficient, and replicable methods for analyzing literature when conducting systematic reviews.
Maintained by Riccardo Boero. Last updated 1 months ago.
generative-aiopen-scienceopen-sourcesystematic-literature-reviews
15.0 match 5 stars 3.76 score 1 scripts
agrocares
OBIC:Calculate the Open Bodem Index (OBI) Score
The Open Bodem Index (OBI) is a method to evaluate the quality of soils of agricultural fields in The Netherlands and the sustainability of the current agricultural practices. The OBI score is based on four main criteria: chemical, physical, biological and management, which consist of more than 21 indicators. By providing results of a soil analysis and management info the 'OBIC' package can be use to calculate he scores, indicators and derivatives that are used by the OBI. More information about the Open Bodem Index can be found at <https://openbodemindex.nl/>.
Maintained by Sven Verweij. Last updated 6 months ago.
7.5 match 11 stars 6.82 score 20 scripts
rmi-pacta
pacta.multi.loanbook:Run 'PACTA' on Multiple Loan Books Easily
Run Paris Agreement Capital Transition Assessment ('PACTA') analyses on multiple loan books in a structured way. Provides access to standard 'PACTA' metrics and additional 'PACTA'-related metrics for multiple loan books. Results take the form of 'csv' files and plots and are exported to user-specified project paths.
Maintained by Jacob Kastl. Last updated 2 days ago.
climate-changepactapactaversesustainable-finance
7.5 match 6.48 score 4 scripts
humaniverse
geographr:R package for mapping UK geographies
A package to distribute and compute on UK geographical data.
Maintained by Mike Page. Last updated 10 days ago.
6.7 match 38 stars 6.67 score 408 scripts
traitecoevo
hmde:Hierarchical Methods for Differential Equations
Wrapper for Stan that offers a number of in-built models to implement a hierarchical Bayesian longitudinal model for repeat observation data. Model choice selects the differential equation that is fit to the observations. Single and multi-individual models are available.
Maintained by Tess OBrien. Last updated 1 months ago.
bayesian-inverse-problemsbayesian-methodsdifferential-equationshierarchical-modelsrstanstancpp
7.9 match 3 stars 5.53 score 10 scripts
wadpac
GGIR:Raw Accelerometer Data Analysis
A tool to process and analyse data collected with wearable raw acceleration sensors as described in Migueles and colleagues (JMPB 2019), and van Hees and colleagues (JApplPhysiol 2014; PLoSONE 2015). The package has been developed and tested for binary data from 'GENEActiv' <https://activinsights.com/>, binary (.gt3x) and .csv-export data from 'Actigraph' <https://theactigraph.com> devices, and binary (.cwa) and .csv-export data from 'Axivity' <https://axivity.com>. These devices are currently widely used in research on human daily physical activity. Further, the package can handle accelerometer data file from any other sensor brand providing that the data is stored in csv format. Also the package allows for external function embedding.
Maintained by Vincent T van Hees. Last updated 1 days ago.
accelerometeractivity-recognitioncircadian-rhythmmovement-sensorsleep
3.3 match 109 stars 13.20 score 342 scripts 3 dependentsrmi-pacta
pacta.executive.summary:Creates Plots for the PACTA COP Executive Summary
This package contains plotting functions and a template for generating the executive summary that displays aggregated results of a PACTA COP exercise.
Maintained by Monika Furdyna. Last updated 4 months ago.
climate-changesustainable-finance
7.5 match 2 stars 4.70 score 3 scripts 1 dependentsrmi-pacta
pacta.data.preparation:Prepare Data for PACTA for Investors
This package provides tools to prepare input datasets to be run in the PACTA_analysis tool.
Maintained by CJ Yetman. Last updated 5 months ago.
climate-changepactapactaversesustainable-finance
7.5 match 1 stars 4.36 score 11 scripts 1 dependentsrmi-pacta
pacta.portfolio.import:pacta.portfolio.import
For more information visit <https://rmi.org/>.
Maintained by CJ Yetman. Last updated 5 months ago.
climate-changepactapactaversesustainable-finance
7.5 match 2 stars 4.31 score 3 scripts 2 dependentsrmi-pacta
pacta.data.validation:pacta.data.validation
For more information visit <https://rmi.org/>.
Maintained by CJ Yetman. Last updated 5 months ago.
climate-changepactapactaversesustainable-finance
7.5 match 2 stars 4.26 score 3 scripts 2 dependentsrmi-pacta
pacta.portfolio.utils:pacta.portfolio.utils
For more information visit <https://rmi.org/>.
Maintained by CJ Yetman. Last updated 3 months ago.
climate-changepactapactaversesustainable-finance
7.5 match 1 stars 4.13 score 5 scripts 3 dependentsrmi-pacta
pacta.portfolio.report:pacta.portfolio.report
For more information visit <https://rmi.org/>.
Maintained by Monika Furdyna. Last updated 2 months ago.
climate-changesustainable-finance
7.5 match 1 stars 4.10 score 2 scripts 1 dependentsrmi-pacta
pacta.scenario.data.preparation:What the Package Does (One Line, Title Case)
What the package does (one paragraph).
Maintained by CJ Yetman. Last updated 5 months ago.
climate-changepactapactaversesustainable-finance
7.5 match 1 stars 3.91 score 3 scripts 1 dependentsrmi-pacta
pacta.data.scraping:Scrapes data from various web sources needed for PACTA
This package provides tools to scrape data from various web sources needed for PACTA.
Maintained by CJ Yetman. Last updated 5 months ago.
climate-changepactapactaversesustainable-finance
7.5 match 2 stars 3.89 score 3 scripts 1 dependentsrmi-pacta
pacta.portfolio.audit:Functions for Calculating Audit Statistics for PACTA on Capital Transition Monitor
These utils include functions that facilitate calculation of useful audit statistics for PACTA on Capital Transition Monitor.
Maintained by CJ Yetman. Last updated 3 months ago.
climate-changepactapactaversesustainable-finance
7.5 match 1 stars 3.71 score 5 scripts 1 dependentsrmi-pacta
pacta.portfolio.allocate:pacta.portfolio.allocate
For more information visit <https://rmi.org/>.
Maintained by CJ Yetman. Last updated 5 months ago.
climate-changepactapactaversesustainable-finance
7.5 match 1 stars 3.68 score 3 scripts 1 dependents
mattcefalu
twang:Toolkit for Weighting and Analysis of Nonequivalent Groups
Provides functions for propensity score estimating and weighting, nonresponse weighting, and diagnosis of the weights.
Maintained by Matthew Cefalu. Last updated 3 years ago.
3.8 match 6 stars 6.83 score 169 scripts 10 dependents
urban-sustainability-lab-zurich
diskurs:An R Package To Handle Discourse Network Data
An R package to handle discourse network data as a bipartite graph of actor nodes, qualified stance edges and statement (belief) nodes.
Maintained by Mario Angst. Last updated 6 months ago.
12.5 match 1.70 score 2 scripts
ajwills72
catlearn:Formal Psychological Models of Categorization and Learning
Formal psychological models of categorization and learning, independently-replicated data sets against which to test them, and simulation archives.
Maintained by Andy Wills. Last updated 3 months ago.
categorizationcognitive-scienceformal-modelslearninglearning-theoryopen-modelsopen-sciencepsychologycpp
3.7 match 25 stars 5.24 score 46 scripts
stevencarlislewalker
mlmRev:Examples from Multilevel Modelling Software Review
Data and examples from a multilevel modelling software review as well as other well-known data sets from the multilevel modelling literature.
Maintained by Steve Walker. Last updated 5 years ago.
3.8 match 4.67 score 173 scripts
umr-amap
StormR:Analyzing the Behaviour of Wind Generated by Tropical Storms and Cyclones
Set of functions to quantify and map the behaviour of winds generated by tropical storms and cyclones in space and time. It includes functions to compute and analyze fields such as the maximum sustained wind field, power dissipation index and duration of exposure to winds above a given threshold. It also includes functions to map the trajectories as well as characteristics of the storms.
Maintained by Thomas Arsouze. Last updated 3 months ago.
cyclones-behaviourtropical-storms
1.8 match 14 stars 7.36 score 7 scripts
davidcarayon
IDEATools:Individual and Group Farm Sustainability Assessments using the IDEA4 Method
Collection of tools to automate the processing of data collected though the IDEA4 method (see Zahm et al. (2018) <doi:10.1051/cagri/2019004> ). Starting from the original data collecting files this packages provides functions to compute IDEA indicators, draw modern and aesthetic plots, and produce a wide range of reporting materials.
Maintained by David Carayon. Last updated 9 months ago.
2.8 match 1 stars 4.59 score 26 scripts
blue-matter
SAMtool:Stock Assessment Methods Toolkit
Simulation tools for closed-loop simulation are provided for the 'MSEtool' operating model to inform data-rich fisheries. 'SAMtool' provides a conditioning model, assessment models of varying complexity with standardized reporting, model-based management procedures, and diagnostic tools for evaluating assessments inside closed-loop simulation.
Maintained by Quang Huynh. Last updated 19 days ago.
1.7 match 3 stars 6.49 score 36 scripts 1 dependents
alessandromagrini
gbmt:Group-Based Multivariate Trajectory Modeling
Estimation and analysis of group-based multivariate trajectory models (Nagin, 2018 <doi:10.1177/0962280216673085>; Magrini, 2022 <doi:10.1007/s10182-022-00437-9>). The package implements an Expectation-Maximization (EM) algorithm allowing unbalanced panel and missing values, and provides several functionalities for prediction and graphical representation.
Maintained by Alessandro Magrini. Last updated 3 months ago.
7.2 match 3 stars 1.52 score 11 scripts
ptaconet
modisfast:Fast and Efficient Access to MODIS Earth Observation Data
Programmatic interface to several NASA Earth Observation 'OPeNDAP' servers (Open-source Project for a Network Data Access Protocol) (<https://www.opendap.org/>). Allows for easy downloads of MODIS subsets, as well as other Earth Observation datacubes, in a time-saving and efficient way : by sampling it at the very downloading phase (spatially, temporally and dimensionally).
Maintained by Paul Taconet. Last updated 4 days ago.
data-cubeearth-science-dataenvironmental-datagpmlandmodisnasaopendapprecipitation-datatemperature-datavegetation-dataviirs
1.6 match 29 stars 5.60 score 13 scripts
a-dudek-ue
mdsOpt:Searching for Optimal MDS Procedure for Metric and Interval-Valued Data
Selecting the optimal multidimensional scaling (MDS) procedure for metric data via metric MDS (ratio, interval, mspline) and nonmetric MDS (ordinal). Selecting the optimal multidimensional scaling (MDS) procedure for interval-valued data via metric MDS (ratio, interval, mspline).Selecting the optimal multidimensional scaling procedure for interval-valued data by varying all combinations of normalization and optimization methods.Selecting the optimal MDS procedure for statistical data referring to the evaluation of tourist attractiveness of Lower Silesian counties. (Borg, I., Groenen, P.J.F., Mair, P. (2013) <doi:10.1007/978-3-642-31848-1>, Walesiak, M. (2016) <doi:10.15611/ekt.2016.2.01>, Walesiak, M. (2017) <doi:10.15611/ekt.2017.3.01>).
Maintained by Andrzej Dudek. Last updated 1 years ago.
2.6 match 2.28 score 19 scripts
forest-economics-goettingen
optimLanduse:Robust Land-Use Optimization
Robust multi-criteria land-allocation optimization that explicitly accounts for the uncertainty of the indicators in the objective function. Solves the problem of allocating scarce land to various land-use options with regard to multiple, coequal indicators. The method aims to find the land allocation that represents the indicator composition with the best possible trade-off under uncertainty. optimLanduse includes the actual optimization procedure as described by Knoke et al. (2016) <doi:10.1038/ncomms11877> and the post-hoc calculation of the portfolio performance as presented by Gosling et al. (2020) <doi:10.1016/j.jenvman.2020.110248>.
Maintained by Kai Husmann. Last updated 1 years ago.
1.5 match 2 stars 3.60 score 2 scriptsforest-economics-goettingen
woodValuationDE:Wood Valuation Germany
Monetary valuation of wood in German forests (stumpage values), including estimations of harvest quantities, wood revenues, and harvest costs. The functions are sensitive to tree species, mean diameter of the harvested trees, stand quality, and logging method. The functions include estimations for the consequences of disturbances on revenues and costs. The underlying assortment tables are taken from Offer and Staupendahl (2018) with corresponding functions for salable and skidded volume derived in Fuchs et al. (2023). Wood revenue and harvest cost functions were taken from v. Bodelschwingh (2018). The consequences of disturbances refer to Dieter (2001), Moellmann and Moehring (2017), and Fuchs et al. (2022a, 2022b). For the full references see documentation of the functions, package README, and Fuchs et al. (2023). Apart from Dieter (2001) and Moellmann and Moehring (2017), all functions and factors are based on data from HessenForst, the forest administration of the Federal State of Hesse in Germany.
Maintained by Jasper M. Fuchs. Last updated 8 months ago.
1.5 match 2 stars 3.30 score 2 scripts
polehalieutique
EcoTroph:An implementation of the EcoTroph Ecosystem modelling approach
An approach and software for modelling marine and freshwater ecosystems. It is articulated entirely around trophic levels. EcoTroph's key displays are bivariate plots, with trophic levels as the abscissa, and biomass flows or related quantities as ordinates. Thus, trophic ecosystem functioning can be modelled as a continuous flow of biomass surging up the food web, from lower to higher trophic levels, due to predation and ontogenic processes. Such an approach, wherein species as such disappear, may be viewed as the ultimate stage in the use of the trophic level metric for ecosystem modelling, providing a simplified but potentially useful caricature of ecosystem functioning and impacts of fishing. This version contains catch trophic spectrum analysis (CTSA) function and corrected versions of the mf.diagnosis and create.ETmain functions.
Maintained by Jerome Guitton. Last updated 2 years ago.
1.6 match 1 stars 2.93 score 17 scripts
beanumber
macleish:Retrieve Data from MacLeish Field Station
Download data from the Ada and Archibald MacLeish Field Station in Whately, MA. The Ada and Archibald MacLeish Field Station is a 260-acre patchwork of forest and farmland located in West Whately, MA that provides opportunities for faculty and students to pursue environmental research, outdoor education, and low-impact recreation (see <https://www.smith.edu/about-smith/sustainable-smith/macleish> for more information). This package contains weather data over several years, and spatial data on various man-made and natural structures.
Maintained by Benjamin S. Baumer. Last updated 3 years ago.
0.5 match 2 stars 5.72 score 87 scripts
noaa-fims
FIMS:The Fisheries Integrated Modeling System
The Fisheries Integrated Modeling System is a next-generation framework of stock assessment models, assisting fishery managers with the goal of achieving sustainable fisheries. This system, when completed in a few years, offers the NOAA Fisheries and global fisheries science communities an advanced set of stock assessment models. These tools can be used separately or in combination to incorporate ecosystem and socioeconomic data and models, as well as climate effects and other drivers within the marine environment, into stock assessment models.
Maintained by Kelli F. Johnson. Last updated 2 months ago.
0.5 match 19 stars 5.62 score 24 scripts
jonathan-g
kayadata:Kaya Identity Data for Nations and Regions
Provides data for Kaya identity variables (population, gross domestic product, primary energy consumption, and energy-related CO2 emissions) for the world and for individual nations, and utility functions for looking up data, plotting trends of Kaya variables, and plotting the fuel mix for a given country or region. The Kaya identity (Yoichi Kaya and Keiichi Yokobori, "Environment, Energy, and Economy: Strategies for Sustainability" (United Nations University Press, 1998) and <https://en.wikipedia.org/wiki/Kaya_identity>) expresses a nation's or region's greenhouse gas emissions in terms of its population, per-capita Gross Domestic Product, the energy intensity of its economy, and the carbon-intensity of its energy supply.
Maintained by Jonathan Gilligan. Last updated 8 months ago.
0.5 match 4.98 score 32 scripts
cmsaf
cmsafvis:Tools to Visualize CM SAF NetCDF Data
The Satellite Application Facility on Climate Monitoring (CM SAF) is a ground segment of the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) and one of EUMETSATs Satellite Application Facilities. The CM SAF contributes to the sustainable monitoring of the climate system by providing essential climate variables related to the energy and water cycle of the atmosphere (<https://www.cmsaf.eu>). It is a joint cooperation of eight National Meteorological and Hydrological Services. The 'cmsafvis' R-package provides a collection of R-operators for the analysis and visualization of CM SAF NetCDF data. CM SAF climate data records are provided for free via (<https://wui.cmsaf.eu/safira>). Detailed information and test data are provided on the CM SAF webpage (<http://www.cmsaf.eu/R_toolbox>).
Maintained by Steffen Kothe. Last updated 6 months ago.
0.5 match 2 stars 4.73 score 1 scripts 1 dependents
hurrecon-model
HurreconR:Models Hurricane Wind Speed, Wind Direction, and Wind Damage
The HURRECON model estimates wind speed, wind direction, enhanced Fujita scale wind damage, and duration of EF0 to EF5 winds as a function of hurricane location and maximum sustained wind speed. Results may be generated for a single site or an entire region. Hurricane track and intensity data may be imported directly from the US National Hurricane Center's HURDAT2 database. For details on the original version of the model written in Borland Pascal, see: Boose, Chamberlin, and Foster (2001) <doi:10.1890/0012-9615(2001)071[0027:LARIOH]2.0.CO;2> and Boose, Serrano, and Foster (2004) <doi:10.1890/02-4057>.
Maintained by Emery Boose. Last updated 2 years ago.
0.5 match 7 stars 4.54 score 4 scripts
maheshpkumar
stockAnalyst:Equity Valuation using Methods of Fundamental Analysis
Methods of Fundamental Analysis for Valuation of Equity included here serve as a quick reference for undergraduate courses on Stock Valuation and Chartered Financial Analyst Levels 1 and 2 Readings on Equity Valuation. Jerald E. Pinto (“Equity Asset Valuation (4th Edition)”, 2020, ISBN: 9781119628194). Chartered Financial Analyst Institute ("Chartered Financial Analyst Program Curriculum 2020 Level I Volumes 1-6. (Vol. 4, pp. 445-491)", 2019, ISBN: 9781119593577). Chartered Financial Analyst Institute ("Chartered Financial Analyst Program Curriculum 2020 Level II Volumes 1-6. (Vol. 4, pp. 197-447)", 2019, ISBN: 9781119593614).
Maintained by MaheshP Kumar. Last updated 3 years ago.
1.9 match 1.00 score
ccicb
somaticflags:Database of Somatic Flags
Database of genes which frequently sustain somatic mutations, but are unlikely to drive cancer.
Maintained by Sam El-Kamand. Last updated 8 months ago.
0.6 match 1 stars 3.18 score 1 scripts 1 dependents
cran
dfphase1:Phase I Control Charts (with Emphasis on Distribution-Free Methods)
Statistical methods for retrospectively detecting changes in location and/or dispersion of univariate and multivariate variables. Data values are assumed to be independent, can be individual (one observation at each instant of time) or subgrouped (more than one observation at each instant of time). Control limits are computed, often using a permutation approach, so that a prescribed false alarm probability is guaranteed without making any parametric assumptions on the stable (in-control) distribution. See G. Capizzi and G. Masarotto (2018) <doi:10.1007/978-3-319-75295-2_1> for an introduction to the package.
Maintained by Giovanna Capizzi. Last updated 2 years ago.
1.7 match 1.00 score
jonathansmart
SharkDemography:Shark Demographic Analyses Using Leslie Matrix Models
Run Leslie Matrix models using Monte Carlo simulations for any specified shark species. This package was developed during the publication of Smart, JJ, White, WT, Baje, L, et al. (2020) "Can multi-species shark longline fisheries be managed sustainably using size limits? Theoretically, yes. Realistically, no".J Appl Ecol. 2020; 57; 1847–1860. <doi:10.1111/1365-2664.13659>.
Maintained by Jonathan Smart. Last updated 1 years ago.
0.5 match 4 stars 3.30 score
oxfordihtm
africalaws:Interface to the Laws.Africa API
Laws.Africa <https://laws.africa> endeavours to facilitate African governments in offering sustainable, free access to dependable digital laws. It aims to achieve this by ensuring that the laws are easily accessible, user-friendly, educational, and reusable. This initiative seeks to empower citizens with knowledge of their legal rights and obligations while promoting transparency and accountability within the legal system. Laws.Africa offers a content application programming interface (API) to fetch legislative content and metadata. The API is a read-only API for listing and fetching published versions of legislative works. This package interfaces with this API to allow access using R.
Maintained by Ernest Guevarra. Last updated 5 months ago.
0.5 match 3 stars 2.88 score
manzhch
edecob:Event Detection Using Confidence Bounds
Detects sustained change in digital bio-marker data using simultaneous confidence bands. Accounts for noise using an auto-regressive model. Based on Buehlmann (1998) "Sieve bootstrap for smoothing in nonstationary time series" <doi:10.1214/aos/1030563978>.
Maintained by Zheng Chen Man. Last updated 2 years ago.
0.5 match 2.70 score 4 scriptscran
gfoRmulaICE:Parametric Iterative Conditional Expectation G-Formula
Implements iterative conditional expectation (ICE) estimators of the plug-in g-formula (Wen, Young, Robins, and Hernán (2020) <doi: 10.1111/biom.13321>). Both singly robust and doubly robust ICE estimators based on parametric models are available. The package can be used to estimate survival curves under sustained treatment strategies (interventions) using longitudinal data with time-varying treatments, time-varying confounders, censoring, and competing events. The interventions can be static or dynamic, and deterministic or stochastic (including threshold interventions). Both prespecified and user-defined interventions are available.
Maintained by Zhaoxi Cheng. Last updated 3 months ago.
0.5 match 1.70 score
mubarakfadhlul
SUSENAS:National Socio-Economic Survey Data Collection Indonesia
Survey to collect data about the social and economic conditions of Indonesian society. This activity aims to include: As a data source for planning and evaluating national, sectoral development programs, and providing indicators for Sustainable Development Goals (TPB), National Medium Term Development Plan (RPJMN), and Nawacita, GDP/GRDP and annual Integrated Institutional Balance Sheet.
Maintained by Fadhlul Mubarak. Last updated 4 months ago.
0.5 match 1.00 scorecran
EconAndProdEfficiency:Economic and Production Efficiency
Production efficiency and economic efficiency are crucial concepts in agriculture/horticulture for sustainable and profitable practices. It helps to determine the optimal use of resources to maximize outputs and profitability. Production efficiency focuses on the optimal use of resources to produce goods, while economic efficiency ensures these goods are produced and allocated in a way that maximizes economic welfare. Production efficiency and economic efficiency are calculated with the help of the formula given by (Kumar et al., 2017) <doi:10.21921/jas.v4i04.10202>.
Maintained by Tanuj Misra. Last updated 10 months ago.
0.5 match 1.00 score