brms: An R Package for Bayesian Multilevel Models Using Stan

Bürkner, Paul‐Christian

doi:10.18637/jss.v080.i01

Cited by 7,054 publications

(6,070 citation statements)

References 51 publications

Supporting

Mentioning

6,033

Contrasting

Unclassified

Order By: Relevance

“…This model choice is particularly appropriate to analyse this dataset because of the wide and increasing scatter of the measurements with age of car, repeated measures of SoH from the same cars, and varying number of 120 measurements per car. The R statistical environment (R core team, 2016) was used for analysis, with the packages dplyr (Wickham, 2017) for data manipulation, brms (Bürkner, 2017) for Bayesian models, and ggplot2 (Wickham, 2016) for graphical display.…”

mentioning

confidence: 99%

Accelerated Reported Battery Capacity Loss in 30 kWh Variants of the Nissan Leaf

Myall¹,

Ivanov²,

Larason³

et al. 2018

Preprint

View full text Add to dashboard Cite

Analysis of 1,382 measures of battery State of Health (SoH) from 283 Nissan Leafs ("Leaf/s"), manufactured between 2011 and 2017, has detected a faster rate of decline in this measure of energy-holding capacity for 30 kWh variants. At two years of age, the mean rate of decline of SoH of 30 kWh Leafs was 9.9% per annum (95% uncertainty interval of 8.7% to 11.1%; 25 n=82). This was around three times the rate of decline of 24 kWh Leafs which at two years averaged 3.1% per annum (95% uncertainty interval of 2.9% to 3.3%; n=201). For both variants there was evidence for an increasing rate of decline as they aged, although this was much more pronounced in the 30 kWh Leafs. Higher use of rapid DC charging was associated with a small decrease in SoH. Additionally, while 24 kWh cars with greater distances travelled showed a higher 30 SoH, in 30 kWh cars there was a reduction in SoH observed in cars that had travelled further. The 30 kWh Leafs sourced from United Kingdom showed slower initial decline than those from Japan, but the rate of decline was similar at two years of age. Improvements in the battery health diagnostics, continuous monitoring of battery temperatures and state of charge, and verification of a fundamental model of battery health are needed before causes and remedies for the observed 35 decline can be pinpointed. If the high rate of decline in battery capacity that we observed in the first 2.3 years of a 30 kWh Leaf's lifetime were to continue, the financial and environmental benefits of this model may be significantly eroded. Despite 30 kWh Leafs accounting for only 14% of all light battery electric vehicles registered for use on New Zealand roads at the end of February 2018, there is also the potential for the relatively poor performance of this specific model to undermine electric 40 vehicle uptake more generally unless remedies can be found.

show abstract

mentioning

confidence: 99%

Accelerated Reported Battery Capacity Loss in 30 kWh Variants of the Nissan Leaf

Myall¹,

Ivanov²,

Larason³

et al. 2018

Preprint

View full text Add to dashboard Cite

show abstract

“…Models for unweighted degree, weighted degree and eigenvector centrality were fitted in the R package lme4 (Bates et al, 2015). The model for betweenness was fitted in Stan (Carpenter et al, 2017) using the R package brms (Burkner, 2017). We included sex (male versus female), age (adult (2+ years old) versus yearling (1-2 years old)), bTB infection status (test-positive versus test-negative) and the number of days an individual was known to be collared as explanatory variables.…”

Section: Position Of Badgers In Within-species and Multilayer Networkmentioning

confidence: 99%

Quantifying direct and indirect contacts for the potential transmission of infection between species using a multilayer contact network

Silk

Drewe

Delahay

et al. 2018

Behav.

View full text Add to dashboard Cite

Detecting opportunities for between-species transmission of pathogens can be challenging, particularly if rare behaviours or environmental transmission are involved. We present a multilayer network framework to quantify transmission potential in multi-host systems, incorporating environmental transmission, by using empirical data on direct and indirect contacts between European badgers Meles meles and domestic cattle. We identify that indirect contacts via the environment at badger latrines on pasture are likely to be important for transmission within badger populations and between badgers and cattle. We also find a positive correlation between the role of individual badgers within the badger social network, and their role in the overall badger-cattle-environment network, suggesting that the same behavioural traits contribute to the role of individual badgers in within-and between-species transmission. These findings have implications for disease management interventions in this system, and our novel network approach can provide general insights into transmission in other multi-host disease systems.

show abstract

“…For this purpose, I employed Stan, a programming language and platform for Bayesian inference (Stan Development Team 2015) and the package brms (Bürkner 2017), which provides an R interface to Stan (R Core Team 2017). Seven Bayesian logistic regression models were fitted, one for each variety.…”

Section: Bayesian Inference and Characteristics Of The Modelsmentioning

confidence: 99%

Probabilistic grammar and constructional predictability: Bayesian generalized additive models of help + (to) Infinitive in varieties of web-based English

Levshina

2018

Glossa: A Journal of General Linguistics

View full text Add to dashboard Cite

The present study investigates the construction with help followed by the bare or to-infinitive in seven varieties of web-based English from Australia, Ghana, Great Britain, Hong Kong, India, Jamaica and the USA. In addition to various factors known from the literature, such as register, minimization of cognitive complexity and avoidance of identity (horror aequi), it studies the effect of predictability of the infinitive given help and the other way round on the language user's choice between the constructional variants. These probabilistic constraints are tested in a series of Bayesian generalized additive mixed-effects regression models. The results demonstrate that the to-infinitive is particularly frequent in contexts with low predictability, or, in informationtheoretic terms, with high information content. This tendency is interpreted as communicatively efficient behaviour, when more predictable units of discourse get less formal marking, and less predictable ones get more formal marking. However, the strength, shape and directionality of predictability effects exhibit variation across the countries, which demonstrates the importance of the cross-lectal perspective in research on communicative efficiency and other universal functional principles.

show abstract

brms: An R Package for Bayesian Multilevel Models Using Stan

Cited by 7,054 publications

References 51 publications

Accelerated Reported Battery Capacity Loss in 30 kWh Variants of the Nissan Leaf

Accelerated Reported Battery Capacity Loss in 30 kWh Variants of the Nissan Leaf

Quantifying direct and indirect contacts for the potential transmission of infection between species using a multilayer contact network

Probabilistic grammar and constructional predictability: Bayesian generalized additive models of <i>help</i> + (to) Infinitive in varieties of web-based English

Contact Info

Product

Resources

About