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generalised linear mixed effects (glme) model with a logistic link function (fitglme in matlab)  (MathWorks Inc)


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    MathWorks Inc generalised linear mixed effects (glme) model with a logistic link function (fitglme in matlab)
    Generalised Linear Mixed Effects (Glme) Model With A Logistic Link Function (Fitglme In Matlab), supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/generalised+linear+model+function/pm36628992-112-18-23
    Average 90 stars, based on 1 article reviews
    generalised linear mixed effects (glme) model with a logistic link function (fitglme in matlab) - by Bioz Stars, 2026-10
    90/100 stars

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    Comparison:

    Article Title: An investigation on the olfactory capabilities of domestic dogs (Canis lupus familiaris).
    Article Snippet: The extraordinary olfactory capabilities in detection and rescue dogs are well-known.. However, the olfactory performance varies by breed and search environment (Jezierski et al. in Forensic Sci Int 237:112–118, 2014), as well as by the quantity of training (Horowitz et al. in Learn Motivation 44(4):207–217, 2013).. While detection of an olfactory cue inherently demands a judgment regarding the presence or absence of a cue at a given location, olfactory discrimination requires an assessment of quantity, a task demanding more attention and, hence, decreasing reliability as an informational source (Horowitz et al. 2013).

    Article Title: Experimental–numerical method for calculating bending moments in swimming fish shows that fish larvae control undulatory swimming with simple actuation
    Article Snippet: We define the ‘swimming effort’ as E = M p e a k t h a l f − 1 —higher bending moments and shorter periods increase E . We fitted a generalised linear model (gamma distribution, log link function) with MATLAB (fitglm, R2018b, The Mathworks) and the Statistics and Machine Learning Toolbox (R2018b, The Mathworks).

    Article Title: Dolphin echolocation behaviour during active long-range target approaches.
    Article Snippet: To investigate if the two dolphins emitted more clicks per packet at longer ranges potentially to compensate for increased TL and improve detection performance, the relationship between the number of clicks per packet (for packets containing a presumed on-axis click) and target range was analysed using a generalised linear mixed-effects model (GLME, MATLAB function: 'fitglme').

    Article Title: Unsupervised machine learning to investigate trajectory patterns of COVID-19 symptoms and physical activity measured via the MyHeart Counts App and smart devices.
    Article Snippet: We used a generalised linear model with probit link function (‘glmfit’ model in Statistical and Machine learning Toolbox, Matlab version 2017a) to obtain the fitted model coefficients.



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