Generate a summary for a RICF solver similar to lavaan-formatted summary
# S3 method for RICF
summary(object, ...)A RICF fitted model object.
Currently ignored.
Shown the lavaan-formatted summary to console
sem1 <- SEMrun(sachs$graph, log(sachs$pkc), sachs$group, algo = "ricf")
#> RICF solver ended normally after 4 iterations
#>
#> deviance/df: 61.84434 srmr: 0.0700967
#>
#> Brown's combined P-value of node activation: 8.881784e-16
#>
#> Brown's combined P-value of node inhibition: 0.0004656197
#>
summary(sem1$fit)
#> RICF solver ended normally after 4 iterations
#>
#> Estimator ML
#> Optimization method RICF
#>
#> Number of free parameters 41
#>
#> Number of observations 1766
#>
#> Model Test User Model
#>
#> Test statistic (Deviance) 2226.396
#> Degrees of freedom (df) 36
#> Deviance/df 61.844
#> Standardized Root Mean Square Residual (srmr) 0.07
#>
#> Parameter Estimates:
#>
#> Regressions:
#>
#> lhs op rhs est
#> 1 Raf ~ group -0.467
#> 2 Mek ~ group 0.122
#> 3 Plcg ~ group 0.268
#> 4 PIP2 ~ group 0.110
#> 5 PIP3 ~ group -0.301
#> 6 Erk ~ group 0.179
#> 7 Akt ~ group 0.150
#> 8 PKA ~ group 0.290
#> 9 PKC ~ group 0.116
#> 10 P38 ~ group -0.062
#> 11 Jnk ~ group 0.333
#> 12 Mek ~ Raf 0.736
#> 13 Erk ~ Mek 0.016
#> 14 PIP2 ~ Plcg 0.199
#> 15 PKC ~ Plcg -0.010
#> 16 PKC ~ PIP2 0.029
#> 17 Plcg ~ PIP3 0.288
#> 18 PIP2 ~ PIP3 0.528
#> 19 Akt ~ PIP3 -0.023
#> 20 Raf ~ PKA 0.008
#> 21 Mek ~ PKA -0.017
#> 22 Erk ~ PKA 0.407
#> 23 Akt ~ PKA 0.507
#> 24 P38 ~ PKA 0.000
#> 25 Jnk ~ PKA -0.002
#> 26 Raf ~ PKC 0.007
#> 27 Mek ~ PKC -0.015
#> 28 P38 ~ PKC 0.652
#> 29 Jnk ~ PKC 0.096
#>
#> Covariances:
#>
#> lhs op rhs est
#> 36 PKA ~~ PIP3 -0.016
#>
#> Variances:
#>
#> lhs op rhs est
#> 30 group ~~ group 1.000
#> 31 Raf ~~ Raf 0.785
#> 32 Mek ~~ Mek 0.524
#> 33 Plcg ~~ Plcg 0.892
#> 34 PIP2 ~~ PIP2 0.653
#> 35 PIP3 ~~ PIP3 0.909
#> 37 Erk ~~ Erk 0.762
#> 38 Akt ~~ Akt 0.672
#> 39 PKA ~~ PKA 0.916
#> 40 PKC ~~ PKC 0.986
#> 41 P38 ~~ P38 0.580
#> 42 Jnk ~~ Jnk 0.873
#>