Network Psychometrics with R
portes grátis
Network Psychometrics with R
A Guide for Behavioral and Social Scientists
Epskamp, Sacha; Borsboom, Denny; Waldorp, Lourens; Isvoranu, Adela-Maria
Taylor & Francis Ltd
03/2022
250
Mole
Inglês
9780367612948
15 a 20 dias
1000
Descrição não disponível.
I: Network Science in R 1 Network Perspectives 2 Short Introduction to R 3 Descriptive Analysis of Network Structures 4 Constructing and Drawing Networks in qgraph 5 Association and Conditional Independence; II: Estimating Undirected Network Models 6 Pairwise Markov Random Fields 7 Estimating Network Structures using Model Selection 8 Network Stability, Comparison, and Replicability; III: Network Models for Longitudinal Data 9 Longitudinal Design Choices: Relating Data to Analysis 10 Network Estimation from Time Series and Panel Data 11 Modeling Change in Networks; IV: Theory and Causality 12 Causal Inference 13 Idealized Modeling of Psychological Dynamics
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R;RStudio;qgraph;network visualization techniques;layout design;practical exercises;variance-covariance matrices;network structures;degree distributions;network psychometrics;cluster detection;clustering coefficients;causal inference;Directed Acyclic Graphs;bnlearn;statistical models;Gaussian graphical models;mixed graphical models;PMRF;cross-sectional data;pruning;regularization;bootnet;estimation algorithm;point estimates;GVAR;SVAR;graphicalVAR;psychonetrics, mlVAR;resilience;sudden transitions;violations of stationarity;temporal networks;mixed data sets;data science;turtorial;Synthetic Control Methods;Single Measurement Data;Partial Correlation Networks;Symptom Network;Multidimensional Item Response Theory Model;Lasso Regularization;Qgraph Package;Multi-level Estimation;Global Clustering Coefficient;Vice Versa;Data Sets;Ising Model;Edge Weight;Edges Included;Structural Var Model;Time Vary Var Model;Var Model;Threshold Var Model;Lasso Estimation;Fixed Effects Analysis;Positive Manifold;Model Selection Algorithms;Conditional Independence
I: Network Science in R 1 Network Perspectives 2 Short Introduction to R 3 Descriptive Analysis of Network Structures 4 Constructing and Drawing Networks in qgraph 5 Association and Conditional Independence; II: Estimating Undirected Network Models 6 Pairwise Markov Random Fields 7 Estimating Network Structures using Model Selection 8 Network Stability, Comparison, and Replicability; III: Network Models for Longitudinal Data 9 Longitudinal Design Choices: Relating Data to Analysis 10 Network Estimation from Time Series and Panel Data 11 Modeling Change in Networks; IV: Theory and Causality 12 Causal Inference 13 Idealized Modeling of Psychological Dynamics
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
R;RStudio;qgraph;network visualization techniques;layout design;practical exercises;variance-covariance matrices;network structures;degree distributions;network psychometrics;cluster detection;clustering coefficients;causal inference;Directed Acyclic Graphs;bnlearn;statistical models;Gaussian graphical models;mixed graphical models;PMRF;cross-sectional data;pruning;regularization;bootnet;estimation algorithm;point estimates;GVAR;SVAR;graphicalVAR;psychonetrics, mlVAR;resilience;sudden transitions;violations of stationarity;temporal networks;mixed data sets;data science;turtorial;Synthetic Control Methods;Single Measurement Data;Partial Correlation Networks;Symptom Network;Multidimensional Item Response Theory Model;Lasso Regularization;Qgraph Package;Multi-level Estimation;Global Clustering Coefficient;Vice Versa;Data Sets;Ising Model;Edge Weight;Edges Included;Structural Var Model;Time Vary Var Model;Var Model;Threshold Var Model;Lasso Estimation;Fixed Effects Analysis;Positive Manifold;Model Selection Algorithms;Conditional Independence
