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Hausser Scientific entropy package
Entropy Package, supplied by Hausser Scientific, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/entropy+package/entropy+package/pmc12875856-187-12-14
Average 86 stars, based on 1 article reviews
entropy package - by Bioz Stars, 2026-11
86/100 stars

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Article Title: How Network Structure Shapes Languages: Disentangling the Factors Driving Variation in Communicative Agents.
Article Snippet: Languages show substantial variability between their speakers, but it is currently unclear how the structure of the communicative network contributes to the patterning of this variability.. While previous studies have highlighted the role of network structure in language change, the specific aspects of network structure that shape language variability remain largely unknown.. To address this gap, we developed a Bayesian agent-based model of language evolution, contrasting between two distinct scenarios: language change and language emergence.

Article Title: Divide (evenly) and conquer (quickly): Spatial exploration behaviors predict navigational learning and differ by sex
Article Snippet: To compute each participant’s path entropy in R , we used the entropy package (Hausser and Strimmer, 2021).

Article Title: Divide (evenly) and conquer (quickly): Spatial exploration behaviors predict navigational learning and differ by sex.
Article Snippet: To compute each participant’s path entropy in R, we used the entropy package (Hausser and Strimmer, 2021).

Article Title: Expecting the unexpected: Examining the interplay between real-world knowledge and contextual cues during language comprehension.
Article Snippet: Entropy scores were calculated using the entropy package (Hausser & Strimmer, 2021), and all the data were manually coded prior to the calculation.

Article Title: Expecting the unexpected: Examining the interplay between real-world knowledge and contextual cues during language comprehension
Article Snippet: Entropy scores were calculated using the entropy package (Hausser & Strimmer, ), and all the data were manually coded prior to the calculation.

Generated:

Article Title: Better Accuracy for Better Science . . . Through Random Conclusions.
Article Snippet: .. If researchers desire a 90% gain in information beyond the RCE, they must achieve a ψ greater than4 76. ; a 95% gain in information requires a ψ greater than 5 99. . To create this figure, we used the entropy package in R (Hausser & Strimmer, 2009) to calculate the Shannon entropy H , in bits, of the sample means and RCE distributions generated by all combinations of δ∈ { ,.,.,..,. ..

Software:

Article Title: Should I stay or should I go? Farmers' choices to remain in a PES program when policy design changes.
Article Snippet: Payment for ecosystem services (PES) have been increasingly applied worldwide to reduce environmental degradation, provide ecosystem services and enhance biodiversity in forests.. However, some PES programs in forestry promote monoculture planting, which results in lower biodiversity and fewer ecosystem services compared with mixed-species forests.. To address the issue of policy design change while maintaining participation to the program, we investigate participants’ willingness to accept a follow-up program featured with mixed-species planting.



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