Duplicated text in output of `report()`when used on a `glmmTMB` object

[yangsophieee]

Hi! I'm reporting on a bug where the output for report() produces duplicated text and two warnings when run on a glmmTMB object. See code below comparing a normal output for lm, and duplicated text in the output for glmmTMB.

library(glmmTMB)
library(report)

lm_fit <- lm(mpg ~ hp + wt, data = mtcars)
TMB_fit <- glmmTMB(mpg ~ hp + wt, data = mtcars)

report(lm_fit)
report(TMB_fit)

Output for lm object (expected)

r$> report(lm_fit)
We fitted a linear model (estimated using OLS) to predict mpg with hp and wt (formula: mpg ~ hp + wt). The model explains a statistically significant and substantial proportion of variance (R2 = 0.83, F(2, 29) = 69.21, p < .001,
adj. R2 = 0.81). The model's intercept, corresponding to hp = 0 and wt = 0, is at 37.23 (95% CI [33.96, 40.50], t(29) = 23.28, p < .001). Within this model:

  - The effect of hp is statistically significant and negative (beta = -0.03, 95% CI [-0.05, -0.01], t(29) = -3.52, p = 0.001; Std. beta = -0.36, 95% CI [-0.57, -0.15])
  - The effect of wt is statistically significant and negative (beta = -3.88, 95% CI [-5.17, -2.58], t(29) = -6.13, p < .001; Std. beta = -0.63, 95% CI [-0.84, -0.42])

Standardized parameters were obtained by fitting the model on a standardized version of the dataset. 95% Confidence Intervals (CIs) and p-values were computed using a Wald t-distribution approximation.

Output for glmmTMB object (actual)

We fitted a linear model (estimated using ML and nlminb optimizer) to predict mpg with hp and wt (formula: mpg ~ hp + wt). The model's explanatory power is substantial (R2 = 0.83, adj. R2 = 0.81). The model's intercept,
corresponding to hp = 0 and wt = 0, is at 37.23 (95% CI [34.24, 40.21], p < .001). Within this model:

  - The effect of wt is statistically significant and negative (beta = -0.03, 95% CI [-0.05, -0.01], p < .001; Std. beta = -0.63, 95% CI [-0.82, -0.44])
  - The intercept is statistically significant and negative (beta = -3.88, 95% CI [-5.06, -2.70], p < .001; Std. beta = -4.82e-08, 95% CI [-0.14, 0.14])

Standardized parameters were obtained by fitting the model on a standardized version of the dataset. 95% Confidence Intervals (CIs) and p-values were computed using a Wald z-distribution approximation. and We fitted a linear model
(estimated using ML and nlminb optimizer) to predict mpg with hp and wt (formula: mpg ~ hp + wt). The model's explanatory power is substantial (R2 = 0.83, adj. R2 = 0.81). The model's intercept, corresponding to hp = 0 and wt = 0,
is at 2.47 (95% CI [1.93, 3.15]). Within this model:

  - The effect of wt is statistically significant and negative (beta = -0.03, 95% CI [-0.05, -0.01], p < .001; Std. beta = -0.63, 95% CI [-0.82, -0.44])
  - The intercept is statistically significant and negative (beta = -3.88, 95% CI [-5.06, -2.70], p < .001; Std. beta = -4.82e-08, 95% CI [-0.14, 0.14])

Standardized parameters were obtained by fitting the model on a standardized version of the dataset. 95% Confidence Intervals (CIs) and p-values were computed using a Wald z-distribution approximation.
Warning messages:
1: In text == "" | text2 == "" :
  longer object length is not a multiple of shorter object length
2: In text == "" | text2 == "" :
  longer object length is not a multiple of shorter object length

The start of the duplicated text appears to begin on this line:

"Standardized parameters were obtained by fitting the model on a standardized version of the dataset. 95% Confidence Intervals (CIs) and p-values were computed using a Wald z-distribution approximation. and We fitted a linear model..."

It seems like the warning messages might be related:

Warning messages:
1: In text == "" | text2 == "" :
  longer object length is not a multiple of shorter object length

Specifications
I'm using R 4.4.1, version 0.6.0 for {report} and version 1.1.10 for {glmmTMB}.

Thank you so much! ☺️