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update snapshots
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‎tests/testthat/_snaps/mclogit.md‎

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# Indices of model performance
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AIC | BIC | Nagelkerke's R2 | RMSE | Sigma
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38.823 | 47.618 | 0.836 | 0.298 | 1.016
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AIC | BIC | Nagelkerke's R2 | RMSE | Sigma
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---------------------------------------------
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38.8 | 47.6 | 0.836 | 0.298 | 1.016
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Output
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# Indices of model performance
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AIC | BIC | Nagelkerke's R2 | RMSE | Sigma
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13.228 | 24.424 | 0.998 | 0.009 | 0.068
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AIC | BIC | Nagelkerke's R2 | RMSE | Sigma
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---------------------------------------------
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13.2 | 24.4 | 0.998 | 0.009 | 0.068
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‎tests/testthat/_snaps/model_performance.psych.md‎

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# Indices of model performance
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Chi2(167) | p (Chi2) | RMSA | RMSA_corrected | TLI | RMSEA | RMSEA 90% CI | BIC
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------------------------------------------------------------------------------------------
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267.210 | < .001 | 0.013 | 0.015 | 0.991 | 0.015 | [0.012, 0.019] | -1044.082
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Chi2(167) | p (Chi2) | RMSA | RMSA_corrected | TLI | RMSEA | RMSEA 90% CI | BIC
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----------------------------------------------------------------------------------------
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267.210 | < .001 | 0.013 | 0.015 | 0.991 | 0.015 | [0.012, 0.019] | -1044.1
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# Indices of model performance
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Model | Chi2 | df | p (Chi2) | RMSA | RMSA_corrected | TLI | RMSEA | RMSEA 90% CI | BIC | R2 | Correlation
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-------------------------------------------------------------------------------------------------------------------------------------
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3-factor solution | 31.796 | 25 | 0.164 | 0.015 | 0.023 | | 0.087 | [0.000, 0.181] | -54.848 | |
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g-model | 264.781 | 44 | < .001 | 0.393 | 0.440 | 0.195 | 0.395 | [0.356, 0.450] | 112.289 | 0.761 | 0.873
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Model | Chi2 | df | p (Chi2) | RMSA | RMSA_corrected | TLI | RMSEA | RMSEA 90% CI | BIC | R2 | Correlation
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-----------------------------------------------------------------------------------------------------------------------------------
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3-factor solution | 31.796 | 25 | 0.164 | 0.015 | 0.023 | | 0.087 | [0.000, 0.181] | -54.8 | |
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g-model | 264.781 | 44 | < .001 | 0.393 | 0.440 | 0.195 | 0.395 | [0.356, 0.450] | 112.3 | 0.761 | 0.873
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Compare the model fit of the 3-factor solution with the g-only model.
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If the g-model has smaller RMSA and RMSEA then your items are more
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# Indices of model performance
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Model | Chi2 | df | p (Chi2) | RMSA | RMSA_corrected | TLI | RMSEA | RMSEA 90% CI | BIC | R2 | Correlation
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-------------------------------------------------------------------------------------------------------------------------------------
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3-factor solution | 31.796 | 25 | 0.164 | 0.015 | 0.023 | | 0.087 | [0.000, 0.181] | -54.848 | |
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g-model | 264.781 | 44 | < .001 | 0.393 | 0.440 | 0.195 | 0.395 | [0.356, 0.450] | 112.289 | 0.761 | 0.873
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Model | Chi2 | df | p (Chi2) | RMSA | RMSA_corrected | TLI | RMSEA | RMSEA 90% CI | BIC | R2 | Correlation
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-----------------------------------------------------------------------------------------------------------------------------------
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3-factor solution | 31.796 | 25 | 0.164 | 0.015 | 0.023 | | 0.087 | [0.000, 0.181] | -54.8 | |
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g-model | 264.781 | 44 | < .001 | 0.393 | 0.440 | 0.195 | 0.395 | [0.356, 0.450] | 112.3 | 0.761 | 0.873
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Compare the model fit of the 3-factor solution with the g-only model.
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If the g-model has smaller RMSA and RMSEA then your items are more

‎tests/testthat/_snaps/nestedLogit.md‎

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# Indices of model performance
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Response | AIC | BIC | RMSE | Sigma | R2
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work | 325.733 | 336.449 | 0.456 | 1.000 | 0.138
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full | 110.495 | 118.541 | 0.398 | 1.000 | 0.333
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Response | AIC | BIC | RMSE | Sigma | R2
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------------------------------------------------
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work | 325.7 | 336.4 | 0.456 | 1 | 0.138
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full | 110.5 | 118.5 | 0.398 | 1 | 0.333
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‎tests/testthat/_snaps/pkg-ivreg.md‎

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# Indices of model performance
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AIC | BIC | R2 | R2 (adj.) | RMSE | Sigma | Wu & Hausman
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--------------------------------------------------------------------
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182.692 | 191.486 | 0.655 | 0.604 | 3.484 | 3.793 | 13.869
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AIC | BIC | R2 | R2 (adj.) | RMSE | Sigma | Wu & Hausman
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----------------------------------------------------------------
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182.7 | 191.5 | 0.655 | 0.604 | 3.484 | 3.793 | 13.869
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AIC | p (Wu_Hausman) | Weak instruments | p (weak_instruments)
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182.692 | < .001 | 19.958 | < .001
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AIC | p (Wu_Hausman) | Weak instruments | p (weak_instruments)
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----------------------------------------------------------------
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182.7 | < .001 | 19.958 | < .001
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