psychonetrics-package |
Structural Equation Modeling and Confirmatory Network Analysis |
addfit |
Model updating functions |
addMIs |
Model updating functions |
addSEs |
Model updating functions |
aggregate_bootstraps |
Aggregate Bootstrapped Models |
bifactor |
Bi-factor models |
bootstrap |
Bootstrap a psychonetrics model |
changedata |
Change the data of a psychonetrics object |
checkFisher |
Diagnostic functions |
checkJacobian |
Diagnostic functions |
cholesky |
Variance-covariance family of psychonetrics models |
CIplot |
Plot Analytic Confidence Intervals |
compare |
Model comparison |
corr |
Variance-covariance family of psychonetrics models |
covML |
Maximum likelihood covariance estimate |
covMLtoUB |
Maximum likelihood covariance estimate |
covUBtoML |
Maximum likelihood covariance estimate |
diagonalizationMatrix |
Model matrices used in derivatives |
dlvm1 |
Lag-1 dynamic latent variable model family of psychonetrics models for panel data |
duplicationMatrix |
Model matrices used in derivatives |
eliminationMatrix |
Model matrices used in derivatives |
emergencystart |
Reset starting values to simple defaults |
esa |
Ergodic Subspace Analysis |
esa_manual |
Ergodic Subspace Analysis |
factorscores |
Compute factor scores |
fit |
Print fit indices |
fixpar |
Parameters modification |
fixstart |
Attempt to Fix Starting Values |
freepar |
Parameters modification |
generate |
Generate data from a fitted psychonetrics object |
getmatrix |
Extract an estimated matrix |
getVCOV |
Obtain the asymptotic covariance matrix |
ggm |
Variance-covariance family of psychonetrics models |
groupequal |
Group equality constrains |
groupfree |
Group equality constrains |
gvar |
Lag-1 vector autoregression family of psychonetrics models |
identify |
Model updating functions |
intersectionmodel |
Unify models across groups |
Ising |
Ising model |
Jonas |
Jonas dataset |
latentgrowth |
Latnet growth curve model |
lnm |
Continuous latent variable family of psychonetrics models |
logbook |
Retrieve the psychonetrics logbook |
lrnm |
Continuous latent variable family of psychonetrics models |
lvm |
Continuous latent variable family of psychonetrics models |
meta_ggm |
Variance-covariance and GGM meta analysis |
meta_varcov |
Variance-covariance and GGM meta analysis |
MIs |
Print modification indices |
ml_gvar |
Multi-level Lag-1 dynamic latent variable model family of psychonetrics models for time-series data |
ml_lnm |
Multi-level latent variable model family |
ml_lrnm |
Multi-level latent variable model family |
ml_lvm |
Multi-level latent variable model family |
ml_rnm |
Multi-level latent variable model family |
ml_tsdlvm1 |
Multi-level Lag-1 dynamic latent variable model family of psychonetrics models for time-series data |
ml_ts_lvgvar |
Multi-level Lag-1 dynamic latent variable model family of psychonetrics models for time-series data |
ml_var |
Multi-level Lag-1 dynamic latent variable model family of psychonetrics models for time-series data |
modelsearch |
Stepwise model search |
panelgvar |
Lag-1 dynamic latent variable model family of psychonetrics models for panel data |
panelvar |
Lag-1 dynamic latent variable model family of psychonetrics models for panel data |
panel_lvgvar |
Lag-1 dynamic latent variable model family of psychonetrics models for panel data |
parameters |
Print parameter estimates |
parequal |
Set equality constrains across parameters |
partialprune |
Partial pruning of multi-group models |
plot.esa |
Ergodic Subspace Analysis |
plot.esa_manual |
Ergodic Subspace Analysis |
prec |
Variance-covariance family of psychonetrics models |
precision |
Variance-covariance family of psychonetrics models |
print.esa |
Ergodic Subspace Analysis |
print.esa_manual |
Ergodic Subspace Analysis |
print.psychonetrics_compare |
Model comparison |
prune |
Stepdown model search by pruning non-significant parameters. |
psychonetrics |
Structural Equation Modeling and Confirmatory Network Analysis |
psychonetrics-class |
Class '"psychonetrics"' |
psychonetrics_bootstrap-class |
Class '"psychonetrics_bootstrap"' |
psychonetrics_log-class |
Class '"psychonetrics"' |
resid-method |
Class '"psychonetrics"' |
residuals-method |
Class '"psychonetrics"' |
rnm |
Continuous latent variable family of psychonetrics models |
runmodel |
Run a psychonetrics model |
setestimator |
Convenience functions |
setoptimizer |
Convenience functions |
setverbose |
Should messages of computation progress be printed? |
show-method |
Class '"psychonetrics"' |
show-method |
Class '"psychonetrics_bootstrap"' |
show-method |
Class '"psychonetrics"' |
simplestructure |
Generate factor loadings matrix with simple structure |
StarWars |
Star Wars dataset |
stepup |
Stepup model search along modification indices |
transmod |
Transform between model types |
tsdlvm1 |
Lag-1 dynamic latent variable model family of psychonetrics models for time-series data |
ts_lvgvar |
Lag-1 dynamic latent variable model family of psychonetrics models for time-series data |
unionmodel |
Unify models across groups |
usecpp |
Convenience functions |
var1 |
Lag-1 vector autoregression family of psychonetrics models |
varcov |
Variance-covariance family of psychonetrics models |