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easystats
:bar_chart: Computation and processing of models' parameters
When I use this function `parameters(model, bootstrap = TRUE)` with a binary logistic model estimated using svyglm from the survey package, the bootstrap = TRUE argument does not function as...
I find the name `summary` slightly confusing and sub-accurate. Maybe to be more explicit and in line with our package structure, we could `performance` as an alias? `parameters(m, summary=FALSE, performance=summary)`...
I am trying to extract model parameters and performance but the package does not support models of class oohbchoice. Could you help? library(DCchoice) library(Icens) library(parameters) library(insight) library(modelsummary) library(performance) library(easystats) library(modelbased)...
Working on easystats/report#309 and experiencing the continuous joy of `htest` objects. For example, `model_parameters` on a `cor.test` object will provide the names of the variables: ``` r x Pearson's product-moment...
Hi there, I am trying to extract by-group marginal means and their CIs of an lmer() model with group as a random effect. For example: ```r library(lme4) library(tidyverse) library(parameters) data...
I have created my questions as part of the comments in the repex below. Thanks, Kim ```{r} # Repex for issue with parameters package re support of random effects not...
Calling plot(model_parameters(model)) for generalized additive models does not seem to be supported so far. Is there any way to make this work? ``` # example data df
This idea came up after a chat with Isabella on Twitter. See following example at https://easystats.github.io/parameters/reference/equivalence_test.lm.html ``` r library(parameters) data(qol_cancer) model # TOST-test for Practical Equivalence #> #> ROPE: [-1.99...
Let's assume I have an emmeans/emGrid object already created: ```{r} > emg Week emmean SE df asymp.LCL asymp.UCL Week 1 -0.317 0.132 Inf -0.577 -0.0573 Week 2 -0.633 0.136 Inf...
Given that most users will stick to the defaults most of the time, they might not even realize that we support this functionality, which would be a shame. It'd be...
