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glm function with normal distribution, stats package, rstudio software  (RStudio)

 
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    RStudio glm function with normal distribution, stats package, rstudio software
    Glm Function With Normal Distribution, Stats Package, Rstudio Software, supplied by RStudio, 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/glm%7Bstats%7D+function/glm/pmc11120827-60-8-22
    Average 90 stars, based on 1 article reviews
    glm function with normal distribution, stats package, rstudio software - by Bioz Stars, 2026-11
    90/100 stars

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    other:

    Article Title: Talent identification of 12-year old male Australian rules footballers: Physical advantages and prognosis for junior and senior national-level selection.
    Article Snippet: Step-up logistic regression (glm package, R Studio v 4.1.2) was used to determine the discriminant ability of the measures for talent identification into a junior Australian Football academy at 12 years of age.

    Article Title: Forward false memories of actions only occur for single and simple actions.
    Article Snippet: Further, we analyzed participants’ accuracy using glmer() in Rstudio environment.

    Article Title: Serving up FLAN. a food literacy and nutrition intervention to fend off food insecurity
    Article Snippet: RStudio packages including “glm” and “stats” were utilized for study data analyses [ ].

    Article Title: Machine Learning Models to Identify Individuals With Imminent Suicide Risk Using a Wearable Device: A Pilot Study.
    Article Snippet: AutoML facilitated the identification of optimal machine-learning models from a selection including generalized linear models (GLM and DeepLearning), distributed random forest (DRF), extreme gradient boosting (XGBoost), gradient boosting machine (GBM), and StackedEnsemble, all operated using H2O AutoML of R Studio.32 AutoML sought both the best machine-learning model and the ideal hyperparameters to maximize performance.

    Article Title: Domain‐Specific Prediction of Clinical Progression in Parkinson's Disease Using the Mosaic Approach
    Article Snippet: All GLM models were computed and visualized within RStudio (RStudio Team ).

    Article Title: Factors associated with non-response and nutrional status of non-responders at 6-month post-discharge: a cohort study nested in a MUAC-based nutrition programme for acutely malnourished children in Mirriah, Niger
    Article Snippet: Logistic regression analysis to identify factors associated with non-response was performed using the RStudio “glm” package.

    Concentration Assay:

    Article Title: Geospatial Approach to Determine Nitrate Values in Banana Plantations
    Article Snippet: .. Subsequently, with a GLM in the R Studio program [29], the dependent variable, that is, nitrate ion concentration (C), was linked with the geomorphometric variables (independent variable) used in the geospatial model: Slope Length factor (LS factor), Terrain Ruggedness Index (TRI), Flow Accumulation (FA), Slope (S), and Topographic Wetness Index (TWI). ..



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