Prints the summary of a mnGLMM model.
Usage
# S3 method for class 'mnGLMM'
summary(object, ...)Value
object, invisibly. Called for the side effect of printing
the coefficient estimates from a fitted mnGLMM.
Examples
data(story_pollen_matrix)
sample_idx <- which(rowSums(story_pollen_matrix) != 0)
n <- ncol(story_pollen_matrix)
glmm_mod <- mnGLMM(Y = story_pollen_matrix[sample_idx, ], V.fixed = diag(n))
summary(glmm_mod)
#>
#> Call: mnGLMM with Tmax = 93 n = 5
#>
#> logLik = 449.3075, AIC = -888.6149 [df = 5]
#>
#> dispersion parameter = 1
#>
#> Fitted Coefficients with approximate se
#> Coef. se t P
#> (intercept).hardwood 0.09345376 0.07082625 1.319479 1.870090e-01
#> (intercept).Fagus grandifolia -0.31836613 0.07195283 -4.424650 9.659855e-06
#> (intercept).Ulmus -0.39757671 0.07161670 -5.551453 2.833052e-08
#> (intercept).Quercus 0.84814218 0.07232763 11.726393 9.335258e-32
#>
#>
#> Overall model
#>
#> B =
#> [,1] [,2] [,3] [,4] [,5]
#> [1,] 0 0.09345376 -0.3183661 -0.3975767 0.8481422
#>
#> sigma = 0.495335
#>
#> V =
#> [,1] [,2] [,3] [,4] [,5]
#> [1,] 1 0 0 0 0
#> [2,] 0 1 0 0 0
#> [3,] 0 0 1 0 0
#> [4,] 0 0 0 1 0
#> [5,] 0 0 0 0 1
#>