A tutorial for understanding SEM using R: Where do all the numbers come from?
Abstract Structural equation modeling (SEM) is often seen as a complex and difficult method, especially for those who want to understand how the numbers in SEM software output are actually computed. Although many open‐source SEM tools are now available—especially in the R programming environment—looking into their source code to understand the ...
Yves Rosseel, Marc Vidal
wiley +1 more source
Blaming luck, claiming skill: Self-attribution bias in error assignment. [PDF]
Okamoto N +5 more
europepmc +1 more source
A tutorial on Bayesian model averaging for exponential random graph models
Abstract The use of exponential random graph models (ERGMs) is becoming prevalent in psychology due to their ability to explain and predict the formation of edges between vertices in a network. Valid inference with ERGMs requires correctly specifying endogenous and exogenous effects as network statistics, guided by theory, to represent the network ...
Ihnwhi Heo +2 more
wiley +1 more source
Comment on "Using genomic data and machine learning to predict antibiotic resistance: A tutorial paper". [PDF]
Chicco D, Jurman G.
europepmc +1 more source
DCAF-GAN: Enhancing historical landscape restoration with dual-branch feature extraction and attention fusion. [PDF]
Fang L, Han B, Bi M, Wang L, Wang D.
europepmc +1 more source
Computational Modeling of Uncertainty and Volatility Beliefs in Escape-Avoidance Learning: Comparing Individuals with and Without Suicidal Ideation. [PDF]
Blacutt M, O'Loughlin CM, Ammerman BA.
europepmc +1 more source
MFDA-YOLO: A multiscale feature fusion and dynamic alignment network for UAV small objects detection. [PDF]
Tian D, Wang X, Liu D, Hao Y.
europepmc +1 more source
Intrusion detection using search-based learning optimized ensemble tree classifier model. [PDF]
Alhassan AM, Altmami NI.
europepmc +1 more source

