mixture-regression.md
In latents: Multilevel Latent Profile, Class and Transition Models

print and summary are stable

Code
  print(fit)
Output
  Mixture of gaussian regressions: 2 classes (one class per row)
  score ~ hours
  900 rows | log likelihood -3144.0074 | BIC 6335.63 | entropy 0.443
  Converged: TRUE | iterations: 49 | best likelihood reached by 2 of 2 completed starts (3 run)

  Classes

  Class    Share  Expected  Rows assigned  Avg. posterior  Residual SD
  -------  -----  --------  -------------  --------------  -----------
  Class 1  0.565    508.26            573           0.789         5.24
  Class 2  0.435    391.74            327           0.828         6.89

  Regression coefficients (95% CI)

  Class    Term       Estimate          95% CI      p
  -------  ---------  --------  --------------  -----
  Class 1  Intercept     34.37  [32.96, 35.78]  <.001
  Class 1  hours          4.56  [ 4.36,  4.77]  <.001
  Class 2  Intercept     54.92  [52.78, 57.06]  <.001
  Class 2  hours          0.80  [ 0.47,  1.14]  <.001

  Every table: get_results(x, what = ), e.g. "classes", "membership", "fit", "assignments".

Code
  print(summary(fit), digits = 3)
Output
  Model fit

  Family          gaussian
  Nesting         observation
  Classes         2
  Group classes   1
  Observations    900
  Parameters      7
  Log likelihood  -3144.01
  AIC             6302.01
  BIC             6335.63
  SABIC           6313.40
  ICL             7030.37
  Entropy         0.443
  Smallest class  43.5%
  Converged       yes

  Regression coefficients (95% CI)

  Class    Term       Estimate          95% CI      p
  -------  ---------  --------  --------------  -----
  Class 1  Intercept     34.37  [32.96, 35.78]  <.001
  Class 1  hours          4.56  [ 4.36,  4.77]  <.001
  Class 2  Intercept     54.92  [52.78, 57.06]  <.001
  Class 2  hours          0.80  [ 0.47,  1.14]  <.001

  Classes

  Class    Share  Expected  Rows assigned  Avg. posterior  Residual SD
  -------  -----  --------  -------------  --------------  -----------
  Class 1  0.565    508.26            573           0.789         5.24
  Class 2  0.435    391.74            327           0.828         6.89

  Class membership (log odds, 95% CI)

  Class    Term       Estimate         95% CI     p  Odds ratio
  -------  ---------  --------  -------------  ----  ----------
  Class 2  Intercept     -0.26  [-0.54, 0.02]  .067        0.77