tests/testthat/_snaps/estimate_means_mixed.md

In easystats/estimate: Estimation of Model-Based Predictions, Contrasts and Means

estimate_means() - mixed models

Code
  estimate_means(m, c("mined", "spp"), backend = "marginaleffects", predict = "inverse_link")
Output
  Estimated Marginal Means

  mined | spp   | Mean |   SE |       95% CI |     z
  --------------------------------------------------
  yes   | GP    | 0.12 | 0.09 | [0.03, 0.55] | -2.71
  no    | GP    | 2.63 | 0.38 | [1.98, 3.48] |  6.75
  yes   | PR    | 0.30 | 0.17 | [0.10, 0.90] | -2.15
  no    | PR    | 0.63 | 0.16 | [0.38, 1.05] | -1.76
  yes   | DM    | 1.21 | 0.44 | [0.59, 2.48] |  0.51
  no    | DM    | 3.16 | 0.44 | [2.40, 4.16] |  8.22
  yes   | EC-A  | 0.23 | 0.14 | [0.07, 0.75] | -2.43
  no    | EC-A  | 1.49 | 0.32 | [0.97, 2.27] |  1.83
  yes   | EC-L  | 0.56 | 0.22 | [0.26, 1.22] | -1.47
  no    | EC-L  | 5.11 | 0.64 | [3.99, 6.53] | 12.96
  yes   | DES-L | 1.26 | 0.43 | [0.64, 2.47] |  0.66
  no    | DES-L | 4.68 | 0.58 | [3.66, 5.97] | 12.34
  yes   | DF    | 1.22 | 0.38 | [0.67, 2.23] |  0.65
  no    | DF    | 2.53 | 0.39 | [1.87, 3.41] |  6.04

  Variable predicted: count
  Predictors modulated: mined, spp
  Predictors averaged: site
  Predictions are on the response-scale.

Code
  estimate_means(m, c("mined", "spp"), backend = "marginaleffects")
Output
  Estimated Marginal Means

  mined | spp   | Mean |   SE |        95% CI |    z
  --------------------------------------------------
  yes   | GP    | 0.04 | 0.03 | [-0.02, 0.11] | 1.33
  no    | GP    | 2.03 | 0.30 | [ 1.44, 2.61] | 6.80
  yes   | PR    | 0.11 | 0.06 | [ 0.00, 0.23] | 1.95
  no    | PR    | 0.49 | 0.12 | [ 0.24, 0.73] | 3.93
  yes   | DM    | 0.45 | 0.15 | [ 0.17, 0.74] | 3.12
  no    | DM    | 2.44 | 0.35 | [ 1.75, 3.13] | 6.92
  yes   | EC-A  | 0.09 | 0.05 | [-0.01, 0.18] | 1.80
  no    | EC-A  | 1.15 | 0.24 | [ 0.68, 1.62] | 4.79
  yes   | EC-L  | 0.21 | 0.08 | [ 0.06, 0.36] | 2.74
  no    | EC-L  | 3.95 | 0.52 | [ 2.93, 4.96] | 7.60
  yes   | DES-L | 0.47 | 0.14 | [ 0.20, 0.75] | 3.36
  no    | DES-L | 3.61 | 0.47 | [ 2.68, 4.54] | 7.62
  yes   | DF    | 0.46 | 0.13 | [ 0.21, 0.71] | 3.58
  no    | DF    | 1.95 | 0.30 | [ 1.36, 2.55] | 6.43

  Variable predicted: count
  Predictors modulated: mined, spp
  Predictors averaged: site
  Predictions are on the response-scale.

Code
  estimate_means(m, c("mined", "spp"), backend = "marginaleffects")
Output
  Estimated Marginal Means

  mined | spp   | Mean |       95% CI
  -----------------------------------
  yes   | GP    | 0.26 | [0.20, 0.34]
  no    | GP    | 2.01 | [1.66, 2.43]
  yes   | PR    | 0.07 | [0.04, 0.10]
  no    | PR    | 0.50 | [0.34, 0.73]
  yes   | DM    | 0.33 | [0.26, 0.43]
  no    | DM    | 2.53 | [2.14, 3.00]
  yes   | EC-A  | 0.12 | [0.09, 0.17]
  no    | EC-A  | 0.93 | [0.70, 1.23]
  yes   | EC-L  | 0.49 | [0.38, 0.62]
  no    | EC-L  | 3.74 | [3.25, 4.30]
  yes   | DES-L | 0.52 | [0.41, 0.65]
  no    | DES-L | 3.96 | [3.46, 4.54]
  yes   | DF    | 0.28 | [0.22, 0.37]
  no    | DF    | 2.18 | [1.81, 2.61]

  Variable predicted: count
  Predictors modulated: mined, spp
  Predictions are on the response-scale.

easystats/estimate documentation built on April 5, 2025, 1:36 p.m.