Showing 5 of total 5 results (show query)
easystats
modelbased:Estimation of Model-Based Predictions, Contrasts and Means
Implements a general interface for model-based estimations for a wide variety of models, used in the computation of marginal means, contrast analysis and predictions. For a list of supported models, see 'insight::supported_models()'.
Maintained by Dominique Makowski. Last updated 1 hours ago.
contrast-analysiscontrastseasystatsestimateggplot2hacktoberfestmarginalmarginal-effectsmeanspredict
243 stars 12.46 score 315 scripts 4 dependents
okgreece
DescriptiveStats.OBeu:Descriptive Statistics 'OpenBudgets.eu'
Estimate and return the needed parameters for visualizations designed for 'OpenBudgets.eu' <http://openbudgets.eu/> datasets. Calculate descriptive statistical measures in budget data of municipalities across Europe, according to the 'OpenBudgets.eu' data model. There are functions for measuring central tendency and dispersion of amount variables along with their distributions and correlations and the frequencies of categorical variables for a given dataset. Also, can be used generally to other datasets, to extract visualization parameters, convert them to 'JSON' format and use them as input in a different graphical interface.
Maintained by Kleanthis Koupidis. Last updated 4 years ago.
boxplotcorrelationdescriptive-statisticsestimatefrequenciesobeuopen-budgetsopenbudgets
1 stars 5.40 score 28 scripts 1 dependents
rrwen
nbc4va:Bayes Classifier for Verbal Autopsy Data
An implementation of the Naive Bayes Classifier (NBC) algorithm used for Verbal Autopsy (VA) built on code from Miasnikof et al (2015) <DOI:10.1186/s12916-015-0521-2>.
Maintained by Richard Wen. Last updated 3 years ago.
autopsybayescauseclassifiercodedcomputerdeathestimateimputationlearningmachinemdsmillionnaivenbcprobabilitystudytheoryvaverbal
4.60 score 79 scripts
gnjardim
entrymodels:Estimate Entry Models
Tools for measuring empirically the effects of entry in concentrated markets, based in Bresnahan and Reiss (1991) <https://www.jstor.org/stable/2937655>.
Maintained by Guilherme Jardim. Last updated 5 years ago.
bresnahaneconomicsentryestimateindustrial-organizationreiss
6 stars 3.48 score 3 scripts
carm1r
fruclimadapt:Evaluation Tools for Assessing Climate Adaptation of Fruit Tree Species
Climate is a critical component limiting growing range of plant species, which also determines cultivar adaptation to a region. The evaluation of climate influence on fruit production is critical for decision-making in the design stage of orchards and vineyards and in the evaluation of the potential consequences of future climate. Bio- climatic indices and plant phenology are commonly used to describe the suitability of climate for growing quality fruit and to provide temporal and spatial information about regarding ongoing and future changes. 'fruclimadapt' streamlines the assessment of climate adaptation and the identification of potential risks for grapevines and fruit trees. Procedures in the package allow to i) downscale daily meteorological variables to hourly values (Forster et al (2016) <doi:10.5194/gmd-9-2315-2016>), ii) estimate chilling and forcing heat accumulation (Miranda et al (2019) <https://ec.europa.eu/eip/agriculture/sites/default/files/fg30_mp5_phenology_critical_temperatures.pdf>), iii) estimate plant phenology (Schwartz (2012) <doi:10.1007/978-94-007-6925-0>), iv) calculate bioclimatic indices to evaluate fruit tree and grapevine adaptation (e.g. Badr et al (2017) <doi:10.3354/cr01532>), v) estimate the incidence of weather-related disorders in fruits (e.g. Snyder and de Melo-Abreu (2005, ISBN:92-5-105328-6) and vi) estimate plant water requirements (Allen et al (1998, ISBN:92-5-104219-5)).
Maintained by Carlos Miranda. Last updated 2 years ago.
chill-modelschill-requirementclimate-adaptationclimate-analysisestimatefruitfruit-treesgrapevinehorticulturephenology
4 stars 3.30 score 4 scripts