Non-Regularized Gaussian Graphical Models


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Documentation for package ‘GGMnonreg’ version 1.0.0

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asd_ocd Data: Autism and Obssesive Compulsive Disorder
bfi Data: 25 Personality items representing 5 factors
confint.ggm_inference Extract Confidence Intervals from 'ggm_inference' Objects
constrained Constrained Precision Matrix
csws Data: Contingencies of Self-Worth Scale (CSWS)
depression_anxiety_t1 Data: Depression and Anxiety (Time 1)
depression_anxiety_t2 Data: Depression and Anxiety (Time 2)
eip Edge Inclusion "Probability"
enr Expected Network Replicability
fisher_r_to_z Fisher Z Transformation
fisher_z_to_r Fisher Z Back Transformation
gen_net Generate True Partial Correlation Matrix
get_graph Get Graph
ggm_compare Compare Gaussian Graphical Models
ggm_inference Gaussian graphical model: statistical inference
ggm_search Gaussian graphical model: automated search
gss Data: 1994 General Social Survey
ifit Data: ifit Intensive Longitudinal Data
iri Data: Interpersonal Reactivity Index (IRI)
ising_search Ising: automated search
mixed_search Mixed Graphical Model: automated search
plot.enr Plot 'enr' Objects
plot.graph Network Plot for 'graph' Objects
predictability Network Predictability (R2)
print.ggmnonreg Print 'ggmnonreg' Object
ptsd Data: Post-Traumatic Stress Disorder
ptsd_cor1 Data: Post-Traumatic Stress Disorder (Sample # 1)
ptsd_cor2 Data: Post-Traumatic Stress Disorder (Sample # 2)
ptsd_cor3 Data: Post-Traumatic Stress Disorder (Sample # 3)
ptsd_cor4 Data: Post-Traumatic Stress Disorder (Sample # 4)
rsa Data: Resilience Scale of Adults (RSA)
Sachs Data: Sachs Network
tas Data: Toronto Alexithymia Scale (TAS)
women_math Data: Women and Mathematics