tests/testthat/_snaps/model_parameters.glm.md

In easystats/parameters: Processing of Model Parameters

print digits model_parameters.lm

Code
  params
Output
  Parameter   | Coefficient |   SE |         95% CI | t(30) |      p
  ------------------------------------------------------------------
  (Intercept) |       37.29 | 1.88 | [33.45, 41.12] | 19.86 | < .001
  wt          |       -5.34 | 0.56 | [-6.49, -4.20] | -9.56 | < .001

  Model: mpg ~ wt (32 Observations)
  Residual standard deviation: 3.046 (df = 30)
  R2: 0.753; adjusted R2: 0.745

Code
  params
Output
  Parameter   | Coefficient |   SE |         95% CI | t(30) |      p
  ------------------------------------------------------------------
  (Intercept) |       37.29 | 1.88 | [33.45, 41.12] | 19.86 | < .001
  wt          |       -5.34 | 0.56 | [-6.49, -4.20] | -9.56 | < .001

model_parameters.glm - Gamma - print

Code
  mp
Output
  Parameter   | Prevalence Ratio |    SE |           95% CI |   t(7) |      p
  ---------------------------------------------------------------------------
  (Intercept) |           245.48 | 46.72 | [173.66, 351.67] |  28.92 | < .001
  u [log]     |             0.55 |  0.03 | [  0.49,   0.61] | -10.88 | < .001
Message

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

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