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A Parametric Framework to Generate Visual Illusions Using Python
Visual illusions are fascinating phenomena that have been used and studied by artists and scientists for centuries, leading to …
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A Parametric Framework to Generate Visual Illusions Using Python
see: An R Package for Visualizing Statistical Models
The see package is embedded in the easystats ecosystem, a collection of R packages that operate in synergy to provide a consistent and …
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see: An R Package for Visualizing Statistical Models
Heart Rate Variability in Psychology: A Review of HRV Indices and an Analysis Tutorial
The use of heart rate variability (HRV) in research has been greatly popularized over the past decades due to the ease and …
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Heart Rate Variability in Psychology: A Review of HRV Indices and an Analysis Tutorial
The Structure of Deception: Validation of the Lying Profile Questionnaire
While deception is considered as a common phenomenon with important implications, its conceptualization and study as a dispositional …
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The Structure of Deception: Validation of the Lying Profile Questionnaire
performance: An R Package for Assessment, Comparison and Testing of Statistical Models
A crucial part of statistical analysis is evaluating a model’s quality and fit, or performance. During analysis, especially with …
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performance: An R Package for Assessment, Comparison and Testing of Statistical Models
NeuroKit2: A Python toolbox for neurophysiological signal processing
NeuroKit2 is an open-source, community-driven, and user-centered Python package for neurophysiological signal processing. It provides a …
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NeuroKit2: A Python toolbox for neurophysiological signal processing
effectsize: Estimation of Effect Size Indices and Standardized Parameters
In both theoretical and applied research, it is often of interest to assess the strength of an observed association. This is typically …
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effectsize: Estimation of Effect Size Indices and Standardized Parameters
Extracting, Computing and Exploring the Parameters of Statistical Models using R
The recent growth of data science is partly fuelled by the ever-growing amount of data and the joint important developments in …
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Extracting, Computing and Exploring the Parameters of Statistical Models using R
Methods and Algorithms for Correlation Analysis in R
Correlations tests are arguably one of the most commonly used statistical procedures, and are used as a basis in many applications such …
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Methods and Algorithms for Correlation Analysis in R
In Medio Stat Virtus: intermediate levels of mind wandering improve episodic memory encoding in a virtual environment
Episodic memory encoding is highly influenced by the availability of attentional resources. Mind wandering corresponds to a shift of …
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In Medio Stat Virtus: intermediate levels of mind wandering improve episodic memory encoding in a virtual environment