tests/testthat/_snaps/model_parameters.mixed.md

In easystats/parameters: Processing of Model Parameters

print-model_parameters

Code
  model_parameters(model, effects = "fixed")
Output
  Parameter   | Coefficient |   SE |         95% CI | t(558) |      p
  -------------------------------------------------------------------
  (Intercept) |       71.53 | 1.56 | [68.48, 74.59] |  45.98 | < .001
  time        |        1.09 | 0.64 | [-0.17,  2.34] |   1.70 | 0.089

  # Within-Effects

  Parameter   | Coefficient |   SE |         95% CI | t(558) |      p
  -------------------------------------------------------------------
  phq4 within |       -3.66 | 0.41 | [-4.46, -2.86] |  -8.95 | < .001

  # Between-Effects

  Parameter    | Coefficient |   SE |         95% CI | t(558) |      p
  --------------------------------------------------------------------
  phq4 between |       -6.28 | 0.50 | [-7.27, -5.30] | -12.53 | < .001
Message

  Uncertainty intervals (equal-tailed) and p-values (two-tailed) computed
    using a Wald t-distribution approximation.

Code
  model_parameters(m1, effects = "all")
Output
  # Fixed Effects

  Parameter   | Coefficient |   SE |        95% CI | t(28) |      p
  -----------------------------------------------------------------
  (Intercept) |        0.65 | 0.50 | [-0.38, 1.68] |  1.29 | 0.206 
  cyl         |        0.40 | 0.08 | [ 0.25, 0.56] |  5.29 | < .001

  # Random Effects

  Parameter            | Coefficient |   SE |       95% CI
  --------------------------------------------------------
  SD (Intercept: gear) |        0.27 | 0.24 | [0.05, 1.54]
  SD (Residual)        |        0.59 | 0.08 | [0.46, 0.77]
Message

  Uncertainty intervals (equal-tailed) and p-values (two-tailed) computed
    using a Wald t-distribution approximation. Uncertainty intervals for
    random effect variances computed using a Wald z-distribution
    approximation.

Code
  model_parameters(m1, effects = "fixed", summary = TRUE)
Output
  # Fixed Effects

  Parameter   | Coefficient |   SE |        95% CI | t(28) |      p
  -----------------------------------------------------------------
  (Intercept) |        0.65 | 0.50 | [-0.38, 1.68] |  1.29 | 0.206 
  cyl         |        0.40 | 0.08 | [ 0.25, 0.56] |  5.29 | < .001

  Model: wt ~ cyl (32 Observations)
  Residual standard deviation: 0.594 (df = 28)
  Conditional R2: 0.628; Marginal R2: 0.550
Message

  Uncertainty intervals (equal-tailed) and p-values (two-tailed) computed
    using a Wald t-distribution approximation.

easystats/parameters documentation built on April 27, 2024, 7:28 p.m.