Release of guide for bayesvl version 1.0

Quang-Loc Nguyen
SP Jain School of Global Management (Lidcombe, NSW 2141, Australia)

October 18, 2022

This special post is to announce that the guide of the bayesvl R package version 1.0 has been officially released since October 3, 2022 [1]. The guide is published as a book chapter in the book titled: “The mindsponge and BMF analytics for innovative thinking in social sciences and humanities” [2]. The bayesvl 1.0 is available on GitHub, free and installable from the site:

Figure 1: bayesvl 1.0 on GitHub.

The bayesvl R package was officially approved by The Comprehensive R Archive Network (CRAN) on May 24, 2019, with version 0.8.5 [3,4]. After its release, several protocols have been published to provide step-by-step guidance for performing Bayesian inference with the package [5-7]. Notably, the package and its user manual are translated and circulated on multiple platforms in different languages, including Chinese, Japanese, Spanish, and Vietnamese [8-11].

Since its first release, the bayesvl package and its protocol have contributed to the publication of at least 37 peer-reviewed research articles and books [12-49], of which 14 studies employed the Bayesian Mindsponge Framework analytics [36-49]. Many of them were published in prestigious journals in their field, such as Humanities and Social Sciences Communications (Nature Portfolio), Pacific Conservation Biology (CSIRO – Australian Academy of Sciences), Learned Publishing (ALPSP), Heliyon (Cell Press), Research Evaluation (Oxford University Press), to name just a few.

Figure 2: bayesvl R package downloads from the CRAN servers over time

Through the update to version 1.0, the bayesvl is expected to contribute more to scientific research activities since its usefulness is significantly leveraged. Specifically, the WAIC and PSIS-LOO-CV computations for model comparison and selection, the Posterior Predictive Check, and the visualization function for test quantities are among the major upgrades in the new version.


[1] Vuong QH, Nguyen MH, La VP. (2022). Updated protocol for performing BMF analytics using bayesvl. In: QH Vuong, MH Nguyen, VP La. (Ed.) The mindsponge and BMF analytics for innovative thinking in social sciences and humanities (pp. 299-362). Berlin, Germany: De Gruyter.

[2] Vuong QH, Nguyen MH, La VP. (2022). The mindsponge and BMF analytics for innovative thinking in social sciences and humanities. Berlin, Germany: De Gruyter.

[3] La VP, Vuong QH. (2019). bayesvl: Visually Learning the Graphical Structure of Bayesian Networks and Performing MCMC with ‘Stan’.

[4] La VP, Vuong QH. (2022). The CRAN bayesvl event, in retrospect.

[5] Vuong QH, et al. (2020). Bayesian analysis for social data: A step-by-step protocol and interpretation. MethodsX, 7, 100924.

[6] Vuong QH, et al. (2020). Improving Bayesian statistics understanding in the age of Big Data with the bayesvl R package. Software Impacts, 4, 100016.

[7] Vuong QH, Nguyen MH, Ho MT. (2022). Bayesvl: an R package for user-friendly Bayesian regression modelling. VMOST Journal of Social Sciences and Humanities, 64(1), 85-96.

[8] Japan Science and Technology Agency. (2022).

[9] swMATH. (2022). bayesvl.

[10] idata8. (2022).

[11] Hoang VQ, Phuong LV, Trung T, Hoang NM, Toan HM. (2021). Ban hoa tau du lieu xa hoi. Nxb Khoa hoc Xa hoi, Ha Noi.

[12] Vuong QH, et al. (2019). Cultural evolution in Vietnam’s early 20th century: a Bayesian networks analysis of Hanoi Franco-Chinese house designs. Social Sciences & Humanities Open, 1(1), 100001.

[13] Le AV, et al. (2019). Exploration of youth’s digital competencies: a dataset in the educational context of Vietnam. Data, 4(2), 69.

[14] Ho MT, et al. (2019). Health care, medical insurance, and economic destitution: A dataset of 1,042 stories. Data, 4(2), 57.

[15] Vuong QH, et al. (2020). On how religions could accidentally incite lies and violence: Folktales as a cultural transmitter. Palgrave Communications, 6, 82.

[16] Tran T, et al. (2020). How Digital Natives Learn and Thrive in the Digital Age: Evidence from an Emerging Economy. Sustainability, 12(9), 3819.

[17] Vuong TT, et al. (2020). Adopting open access in the social sciences and humanities: Evidence from a developing nation. Heliyon, 6(7), e04522.

[18] Ho MT, et al. (2020). An analytical view on STEM education and outcomes: Examples of the social gap and gender disparity in Vietnam. Children and Youth Services Review, 119, 105650.

[19] Vuong QH, et al. (2021). Mirror, mirror on the wall: Is economics the fairest of them all? An investigation into the social sciences and humanities in Vietnam. Research Evaluation, 30(1), 57-71.

[20] Vuong QH, et al. (2021). On the environment-destructive probabilistic trends: a perceptual and behavioral study on video game players. Technology in Society, 65, 101530.

[21] Vuong QH, et al. (2021). Top economics universities and research institutions in Vietnam: Evidence from the SSHPA dataset. Heliyon, 7(2), e06273.

[22] Vuong QH, Nguyen TTH, Ho MT, Nguyen MH. (2021). Adopting open access in an emerging country: Is gender inequality a barrier in Humanities and Social Sciences?. Learned Publishing, 34(4), 487-498.

[23] Vuong QH, et al. (2021). A data collection on secondary school students’ STEM performance and reading practices in an emerging country. Data Intelligence, 3(2), 336-356.

[24] Vuong QH, et al. (2021). Good budget or good care: The dilemma of social health insurance in Vietnam. SAGE Open Medicine, 9, 1-16.

[25] Nguyen HTT, et al. (2021). Open Access Publishing Probabilities Based on Gender and Authorship Structures in Vietnam. Publications, 9(4), 45.

[26] Vuong QH, et al. (2021). A multinational dataset of game players’ behaviors in a virtual world and environmental perceptions. Data Intelligence, 3(4), 606-630.

[27] Mantello P, Ho MT, Nguyen MH, Vuong QH. (2021). Bosses without a heart: Socio-demographic and cross-cultural determinants of attitude toward emotional AI in the workplace. AI & Society.

[28] Vuong QH, et al. (2021). Impacts of parents and reading promotion on creating a reading culture: Evidence from a developing context. Children and Youth Services Review, 131, 106311.

[29] Escudero I, Angulo JM, Mateu J. (2022). A Spatially Correlated Model with Generalized Autoregressive Conditionally Heteroskedastic Structure for Counts of Crimes. Entropy, 24(7), 892.

[30] Nguyen MH, Vuong QH. (2022). Evaluation of the Aichi Biodiversity Targets: The international collaboration trilemma in interdisciplinary research. Pacific Conservation Biology.

[31] Khuc VQ, et al. (2021). Young Adults’ Intentions and Rationales for COVID-19 Vaccination Participation: Evidence from a Student Survey in Ho Chi Minh City, Vietnam. Vaccines, 9(7), 794.

[32] Nguyen MH. (2021). Multifaceted Interactions between Urban Humans and Biodiversity-related Concepts: A Developing-country Data Set. Data Intelligence, 3(4), 578-605.

[33] Ho MT, et al. (2022). Virtual tree, real impact: how simulated worlds associate with the perception of limited resources. Humanities and Social Sciences Communications, 9(1), 213.

[34] Wu G, et al. (2022). A synthetic population dataset for estimating small area health and socio-economic outcomes in Great Britain. Scientific Data, 9, 19.

[35] Pham HH, et al. (2022). International education as an export sector: an investigation of 49 Vietnamese universities and colleges using Bayesian analysis. Globalisation, Societies and Education.

[36] Nguyen MH, La VP, Le TT, Vuong QH. (2022). Introduction to Bayesian Mindsponge Framework analytics: An innovative method for social and psychological research. MethodsX, 9, 101808.

[37] Nguyen MH, et al. (2021). Alice in Suicideland: Exploring the Suicidal Ideation Mechanism through the Sense of Connectedness and Help-Seeking Behaviors. International Journal of Environmental Research and Public Health, 18 (7), 3681.

[38] Vuong QH, Nguyen MH, Le TT. (2021). Home scholarly culture, book selection reason, and academic performance: Pathways to book reading interest among secondary school students. European Journal of Investigation in Health, Psychology and Education, 11(2), 468-495.

[39] Nguyen MH, Jones TE. (2022). Predictors of support for biodiversity loss countermeasures and bushmeat consumption among Vietnamese urban residents. Conservation Science and Practice. (In Press).

[40] Vuong QH, Nguyen MH, Le TT. (2021). A mindsponge-based investigation into the psycho-religious mechanism behind suicide attacks. Warsaw, Poland: De Gruyter.

[41] Ho MT, et al. (2022). Rethinking technological acceptance in the age of emotional AI: Surveying Gen Z (Zoomer) attitudes toward non-conscious data collection. Technology in Society, 70, 102011.

[42] Nguyen MH, et al. (2022). The roles of female involvement and risk aversion in open access publishing patterns in Vietnamese social sciences and humanities. Journal of Data and Information Science, 7(1), 76-96.

[43] Vuong QH, Le TT, La VP, Nguyen MH. (2022). The psychological mechanism of internet information processing for post-treatment evaluation. Heliyon, 8(5), e09351.

[44] Khuc QV, et al. (2022). Brain Drain out of the Blue: Pollution-Induced Migration in Vietnam. International Journal of Environmental Research and Public Health, 19(6), 3645.

[45] Vuong QH, et al. (2022). Escaping from Air Pollution: Exploring the Psychological Mechanism behind the Emergence of Internal Migration Intention among Urban Residents. International Journal of Environmental Research and Public Health, 19(19), 12233.

[46] Nguyen MH, La VP, Le TT, Vuong QH. (2022). Bayesian Mindsponge Framework analytics: a novel methodological approach for social sciences and humanities. In: QH Vuong, MH Nguyen, VP La. (Eds.) The mindsponge and BMF analytics for innovative thinking in social sciences and humanities (pp. 87-116). Berlin, Germany: De Gruyter.

[47] Nguyen MH, Le TT, Vuong QH. (2022). The first BMF investigation: suicidal ideation mechanism. In: QH Vuong, MH Nguyen, VP La. (Eds.) The mindsponge and BMF analytics for innovative thinking in social sciences and humanities (pp. 145-204). Berlin, Germany: De Gruyter.

[48] Le TT, Vuong TT, Ho MT, La VP. (2022). The second BMF investigation: mindset, motivation, and book reading interest. In: QH Vuong, MH Nguyen, VP La. (Eds.) The mindsponge and BMF analytics for innovative thinking in social sciences and humanities (pp. 204-254). Berlin, Germany: De Gruyter.

[49] La VP, Le TT. (2022). The third BMF investigation: Internet healthcare information, trust, and personal assessment. In: QH Vuong, MH Nguyen, VP La. (Eds.) The mindsponge and BMF analytics for innovative thinking in social sciences and humanities (pp. 255-298). Berlin, Germany: De Gruyter.