ramLCS: Univariate latent change score model

Description Usage Arguments Value References Examples

Description

Univariate latent change score model

Usage

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ramLCS(data, y, timey, ram.out = FALSE, betay, my0, mys, 
varey, vary0, varys, vary0ys, ...)

Arguments

data

data

y

y data

timey

time of y

ram.out

Whether print ram matrices

betay

Starting value

my0

Starting value

mys

Starting value

varey

Starting value

vary0

Starting value

varys

Starting value

vary0ys

Starting value

...

Options can be used for lavaan

Value

model

The lavaan model specification of the bivariate latent change score model

lavaan

The lavaan output

ram

Output in terms of RAM matrices

References

Zhang, Z., Hamagami, F., Grimm, K. J., & McArdle, J. J. (2013). Using R Package RAMpath for Tracing SEM Path Diagrams and Conducting Complex Longitudinal Data Analysis. Structural Equation Modeling.

Examples

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data(ex3)
test.lcs<-ramLCS(ex3, 7:12)
summary(test.lcs$lavaan, fit=TRUE)

bridge<-ramPathBridge(test.lcs$ram, allbridge=FALSE, indirect=FALSE)
plot(bridge, 'lcs')

Example output

Loading required package: lavaan
This is lavaan 0.5-23.1097
lavaan is BETA software! Please report any bugs.
Loading required package: ellipse
Loading required package: MASS
lavaan (0.5-23.1097) converged normally after  63 iterations

  Number of observations                           500

  Estimator                                         ML
  Minimum Function Test Statistic               21.534
  Degrees of freedom                                20
  P-value (Chi-square)                           0.366

Model test baseline model:

  Minimum Function Test Statistic              917.839
  Degrees of freedom                                15
  P-value                                        0.000

User model versus baseline model:

  Comparative Fit Index (CFI)                    0.998
  Tucker-Lewis Index (TLI)                       0.999

Loglikelihood and Information Criteria:

  Loglikelihood user model (H0)              -8226.137
  Loglikelihood unrestricted model (H1)      -8215.370

  Number of free parameters                          7
  Akaike (AIC)                               16466.274
  Bayesian (BIC)                             16495.776
  Sample-size adjusted Bayesian (BIC)        16473.557

Root Mean Square Error of Approximation:

  RMSEA                                          0.012
  90 Percent Confidence Interval          0.000  0.041
  P-value RMSEA <= 0.05                          0.990

Standardized Root Mean Square Residual:

  SRMR                                           0.042

Parameter Estimates:

  Information                                 Expected
  Standard Errors                             Standard

Latent Variables:
                   Estimate  Std.Err  z-value  P(>|z|)
  y0 =~                                               
    y1                1.000                           
  dy2 =~                                              
    y2                1.000                           
  dy3 =~                                              
    y3                1.000                           
  dy4 =~                                              
    y4                1.000                           
  dy5 =~                                              
    y5                1.000                           
  dy6 =~                                              
    y6                1.000                           
  ys =~                                               
    dy2               1.000                           
    dy3               1.000                           
    dy4               1.000                           
    dy5               1.000                           
    dy6               1.000                           
  y1 =~                                               
    Y7                1.000                           
  y2 =~                                               
    Y8                1.000                           
  y3 =~                                               
    Y9                1.000                           
  y4 =~                                               
    Y10               1.000                           
  y5 =~                                               
    Y11               1.000                           
  y6 =~                                               
    Y12               1.000                           

Regressions:
                   Estimate  Std.Err  z-value  P(>|z|)
  y2 ~                                                
    y1                1.000                           
  y3 ~                                                
    y2                1.000                           
  y4 ~                                                
    y3                1.000                           
  y5 ~                                                
    y4                1.000                           
  y6 ~                                                
    y5                1.000                           
  dy2 ~                                               
    y1      (bety)    0.067    0.014    4.760    0.000
  dy3 ~                                               
    y2      (bety)    0.067    0.014    4.760    0.000
  dy4 ~                                               
    y3      (bety)    0.067    0.014    4.760    0.000
  dy5 ~                                               
    y4      (bety)    0.067    0.014    4.760    0.000
  dy6 ~                                               
    y5      (bety)    0.067    0.014    4.760    0.000

Covariances:
                   Estimate  Std.Err  z-value  P(>|z|)
  y0 ~~                                               
    ys      (vry0)    0.045    0.161    0.281    0.779

Intercepts:
                   Estimate  Std.Err  z-value  P(>|z|)
    ys       (mys)    1.618    0.375    4.315    0.000
    y0       (my0)   19.962    0.151  132.376    0.000
    y1                0.000                           
   .y2                0.000                           
   .y3                0.000                           
   .y4                0.000                           
   .y5                0.000                           
   .y6                0.000                           
   .dy2               0.000                           
   .dy3               0.000                           
   .dy4               0.000                           
   .dy5               0.000                           
   .dy6               0.000                           
   .Y7                0.000                           
   .Y8                0.000                           
   .Y9                0.000                           
   .Y10               0.000                           
   .Y11               0.000                           
   .Y12               0.000                           

Variances:
                   Estimate  Std.Err  z-value  P(>|z|)
   .dy2               0.000                           
   .dy3               0.000                           
   .dy4               0.000                           
   .dy5               0.000                           
   .dy6               0.000                           
    y1                0.000                           
   .y2                0.000                           
   .y3                0.000                           
   .y4                0.000                           
   .y5                0.000                           
   .y6                0.000                           
    y0      (vry0)    3.730    0.559    6.668    0.000
    ys      (vrys)    0.400    0.071    5.649    0.000
   .Y7      (vary)    9.696    0.307   31.623    0.000
   .Y8      (vary)    9.696    0.307   31.623    0.000
   .Y9      (vary)    9.696    0.307   31.623    0.000
   .Y10     (vary)    9.696    0.307   31.623    0.000
   .Y11     (vary)    9.696    0.307   31.623    0.000
   .Y12     (vary)    9.696    0.307   31.623    0.000

lavaan (0.5-23.1097) converged normally after  63 iterations

  Number of observations                           500

  Estimator                                         ML
  Minimum Function Test Statistic               21.534
  Degrees of freedom                                20
  P-value (Chi-square)                           0.366

Model test baseline model:

  Minimum Function Test Statistic              917.839
  Degrees of freedom                                15
  P-value                                        0.000

User model versus baseline model:

  Comparative Fit Index (CFI)                    0.998
  Tucker-Lewis Index (TLI)                       0.999

Loglikelihood and Information Criteria:

  Loglikelihood user model (H0)              -8226.137
  Loglikelihood unrestricted model (H1)      -8215.370

  Number of free parameters                          7
  Akaike (AIC)                               16466.274
  Bayesian (BIC)                             16495.776
  Sample-size adjusted Bayesian (BIC)        16473.557

Root Mean Square Error of Approximation:

  RMSEA                                          0.012
  90 Percent Confidence Interval          0.000  0.041
  P-value RMSEA <= 0.05                          0.990

Standardized Root Mean Square Residual:

  SRMR                                           0.042

Parameter Estimates:

  Information                                 Expected
  Standard Errors                             Standard

Latent Variables:
                   Estimate  Std.Err  z-value  P(>|z|)
  y0 =~                                               
    y1                1.000                           
  dy2 =~                                              
    y2                1.000                           
  dy3 =~                                              
    y3                1.000                           
  dy4 =~                                              
    y4                1.000                           
  dy5 =~                                              
    y5                1.000                           
  dy6 =~                                              
    y6                1.000                           
  ys =~                                               
    dy2               1.000                           
    dy3               1.000                           
    dy4               1.000                           
    dy5               1.000                           
    dy6               1.000                           
  y1 =~                                               
    Y7                1.000                           
  y2 =~                                               
    Y8                1.000                           
  y3 =~                                               
    Y9                1.000                           
  y4 =~                                               
    Y10               1.000                           
  y5 =~                                               
    Y11               1.000                           
  y6 =~                                               
    Y12               1.000                           

Regressions:
                   Estimate  Std.Err  z-value  P(>|z|)
  y2 ~                                                
    y1                1.000                           
  y3 ~                                                
    y2                1.000                           
  y4 ~                                                
    y3                1.000                           
  y5 ~                                                
    y4                1.000                           
  y6 ~                                                
    y5                1.000                           
  dy2 ~                                               
    y1      (bety)    0.067    0.014    4.760    0.000
  dy3 ~                                               
    y2      (bety)    0.067    0.014    4.760    0.000
  dy4 ~                                               
    y3      (bety)    0.067    0.014    4.760    0.000
  dy5 ~                                               
    y4      (bety)    0.067    0.014    4.760    0.000
  dy6 ~                                               
    y5      (bety)    0.067    0.014    4.760    0.000

Covariances:
                   Estimate  Std.Err  z-value  P(>|z|)
  y0 ~~                                               
    ys      (vry0)    0.045    0.161    0.281    0.779

Intercepts:
                   Estimate  Std.Err  z-value  P(>|z|)
    ys       (mys)    1.618    0.375    4.315    0.000
    y0       (my0)   19.962    0.151  132.376    0.000
    y1                0.000                           
   .y2                0.000                           
   .y3                0.000                           
   .y4                0.000                           
   .y5                0.000                           
   .y6                0.000                           
   .dy2               0.000                           
   .dy3               0.000                           
   .dy4               0.000                           
   .dy5               0.000                           
   .dy6               0.000                           
   .Y7                0.000                           
   .Y8                0.000                           
   .Y9                0.000                           
   .Y10               0.000                           
   .Y11               0.000                           
   .Y12               0.000                           

Variances:
                   Estimate  Std.Err  z-value  P(>|z|)
   .dy2               0.000                           
   .dy3               0.000                           
   .dy4               0.000                           
   .dy5               0.000                           
   .dy6               0.000                           
    y1                0.000                           
   .y2                0.000                           
   .y3                0.000                           
   .y4                0.000                           
   .y5                0.000                           
   .y6                0.000                           
    y0      (vry0)    3.730    0.559    6.668    0.000
    ys      (vrys)    0.400    0.071    5.649    0.000
   .Y7      (vary)    9.696    0.307   31.623    0.000
   .Y8      (vary)    9.696    0.307   31.623    0.000
   .Y9      (vary)    9.696    0.307   31.623    0.000
   .Y10     (vary)    9.696    0.307   31.623    0.000
   .Y11     (vary)    9.696    0.307   31.623    0.000
   .Y12     (vary)    9.696    0.307   31.623    0.000

Running  dot -Tpdf -o lcs.pdf  lcs.dot 
sh: 1: dot: Permission denied

RAMpath documentation built on May 2, 2019, 9:12 a.m.