an R package for structural equation modeling and more
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Updated
Nov 7, 2026 - R
an R package for structural equation modeling and more
An R package for Bayesian structural equation modeling
Object-oriented diagram plots with ggplot2
An Introduction to Structural Equation Modeling
An R package for Bayesian structural equation modeling using INLA
Demystifying Structural Equation Modeling
pathpy is an OpenSource python package for the analysis of time series data on networks using higher-order and multi-order graphical models.
An R Package for Two-Stage Path Analysis (2S-PA)
Connecting nodes
Streaming over networks
Path-aware code intelligence engine — CFG extraction, path enumeration, interprocedural control flow, dominance/loops, blast-radius + hotspot analysis. Graph reasoning over Magellan.
Apply empirical bias-reduced methods to fit a variety of latent variable models
Measure whether an agent solves the same task the same way twice: path signatures, entropy, divergence, and a minimum-run stability gate.
Shortest/Least Cost Path analysis utilizing road infrastructure and elevation data in a Middle Earth inspired geographical database
Tools to analyze the movement patterns of grey wolves in the Alberta region of Canada using ADT Graphs
A high-performance Python library for sequence probability estimation, next-state prediction, Markov attribution modeling, and AI agent trajectory analysis using Discrete-Time Markov Chains (DTMC).
Examining psychological ownership as a volunteering motivation of Mapagama's members
Shiny Application For Path Analysis
IBM SPSS Amos supports structural equation modeling, path analysis, and confirmatory factor analysis. Explore spss amos software through explicit model specifications, documented data decisions, fit assessment, indirect effects, group comparisons, and reproducible interpretation.
Forward Networks — independent third-party profile of a public API surface, by API Evangelist. Forward Networks builds network digital-twin software (Forward Enterprise) that creates a mathematically accurate, vendor-agnostic model of large hybrid and multi-cloud networks. Networking, security, cloud, and compliance teams use it to verify network b
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