Topic: brms Goto Github
Some thing interesting about brms
Some thing interesting about brms
brms,Course Content for PSCI 3300 Political Science Research Methods
User: ajnafa
brms,Run standard t-tests, simulations, and Bayesian difference in means tests with R and Stan
User: andrewheiss
Home Page: https://www.andrewheiss.com/blog/2019/01/29/diff-means-half-dozen-ways/
brms,The bookdown version lives here: https://bookdown.org/content/3890
User: askurz
brms,Samples for using Corticon.js decision services.
Organization: corticon
Home Page: https://www.progress.com/corticon-js
brms,Raspberry Pi IoT Kiosk (Pi IoT Tron) - Kiosk - INTERNET OF THINGS (IoT) :: Internet of Things Drools-jBPM Expert System using Pi IoT Tron AI-IoTBPMServer :: Executive Order Sensor Processor System - Raspberry Pi IoT Tron MQTT AI-IoTBPM Client using EOSpy AI-IoTBPM Drools-jBPM
User: eodas
Home Page: http://www.iotbpm.com
brms,Executive Order Corp – AI-IoTBPM Server is IoT Internet of Things Drools-BPM (Business Process Management) engine for IoT Device Orchestration and IoT device ontology (AI-IoT device awareness, state of being, knowledge of real-world objects, events, situations, and abstract concepts).
User: eodas
brms,Population-level infectious disease modelling as an extension of brms.
Organization: epiforecasts
Home Page: https://epiforecasts.io/idbrms
brms,An R package providing a GUI ('shiny' app) for the R package 'brms'.
User: fweber144
Home Page: https://fweber144.github.io/shinybrms/
brms,A repository for the "Cognate beginnings to bilingual lexical acquisition" study
User: gongcastro
Home Page: https://gongcastro.github.io/cognate-beginnings/
brms,Can visualization alleviate dichotomous thinking? Effects of visual representations on the cliff effect
User: helske
brms,Higson - Motor Insurance Demo App. This is a sample application to demonstrate capabilities of Higson.io library (Java Business Rules Engine (BRE)/Java Pricing Engine). The application demonstrates responsive quotations for Car/Motor Insurance based on decision tables and Rhino functions (for math calculations).
Organization: higson-io
brms,Bindings for Bayesian TidyModels
User: hsbadr
Home Page: https://hsbadr.github.io/bayesian/
brms,A Docker image to run Stan, cmdstanr, and brms for Bayesian statistical modelling
User: jbris
Home Page: https://jbris.github.io/stan-cmdstanr-docker/
brms,A Docker image to run Stan, cmdstanr, and brms for Bayesian statistical modelling. GPU support using OpenCL is available.
User: jbris
Home Page: https://jbris.github.io/stan-cmdstanr-gpu-docker/
brms,worked R examples
User: julianfaraway
brms,A pragmatic business rule management system
User: kislayverma
Home Page: http://rulette.org
brms,REST server + UI for Rulette
User: kislayverma
Home Page: http://rulette.org
brms,Workshop materials for learnB4SS
Organization: learnb4ss
Home Page: https://learnb4ss.github.io/learnB4SS/
brms,Workshop - Introduction to Bayesian statistical modelling
User: lnalborczyk
Home Page: https://lnalborczyk.github.io/IBSM2023/
brms,Formation doctorale d'introduction à la modélisation statistique bayésienne
User: lnalborczyk
Home Page: https://www.barelysignificant.com/IMSB2022/
brms,:no_entry_sign: :leftwards_arrow_with_hook: A document that introduces Bayesian data analysis.
User: m-clark
Home Page: https://m-clark.github.io/bayesian-basics/
brms,Workshop to introduce participants to rstanarm and brms.
User: m-clark
Home Page: https://m-clark.github.io/easy-bayes/
brms,Covers the basics of mixed models, mostly using @lme4
User: m-clark
Home Page: https://m-clark.github.io/mixed-models-with-R/
brms,Workshop on using Mixed Models with R
User: m-clark
brms,An R package for extracting results from mixed models that are easy to use and viable for presentation.
User: m-clark
Home Page: http://m-clark.github.io/mixedup
brms,Demonstration of alternatives to lme4
User: m-clark
brms,A quick reference for how to run many models in R.
User: m-clark
Home Page: https://m-clark.github.io/R-models/
brms,👓 Functions related to R visualizations
User: m-clark
Home Page: https://m-clark.github.io/visibly
brms,Bayesian analysis + tidy data + geoms (R package)
User: mjskay
Home Page: http://mjskay.github.io/tidybayes
brms,Workshop on applied bayesian modelling in R with brms
User: mvuorre
Home Page: https://mvuorre.github.io/brms-workshop
brms,Manuscript on estimating latent means models with R & brms
User: mvuorre
brms,Ecological forecasting using Dynamic Generalized Additive Models with R 📦's {mvgam} and {brms}
User: nicholasjclark
Home Page: https://nicholasjclark.github.io/physalia-forecasting-course/
brms,PHP Rule Engine - Parses & Evaluates JavaScript-like expressions
User: nicoswd
brms,Using Configuration oriented build tool Apache Maven for Build and Release Management
User: nishkarshraj
brms,OpenBRMS is a cloud native business rules management system with scripted rules
Organization: openbrms
Home Page: https://www.openbrms.io
brms,R package to run Bayesian MMRMs using {brms}
Organization: openpharma
Home Page: https://openpharma.github.io/brms.mmrm/
brms,brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
User: paul-buerkner
Home Page: https://paul-buerkner.github.io/brms/
brms,Business Rules Integration Engine
Organization: peopleconnectus
brms,Bayesian version of the R package influ (https://github.com/trophia/influ) for use with brms models
User: quantifish
Home Page: http://www.quantifish.co.nz/influ2/
brms,RHDM-7.x Sandbox Installation
User: snoussi
brms,Quick Loan Bank UI is an example demo invoking a decision service based on Red Hat Decision Manager 7.
User: snoussi
brms,RHDM 7.9.0 demo - loan pre-approval decision service for Quick Loan Bank
User: snoussi
brms,scikit-learn wrapper for generalized linear mixed model methods in R
User: stanbiryukov
brms,BRMS [Drools] :: BRMS Decision Tables Lessons Learned
User: sunil-samuel
brms,BRMS (Drools) Rules Example application to deploy as KJar into Kie-Server
User: sunil-samuel
brms,Deployment of kjar into the KIE-Server
User: sunil-samuel
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