equatiomatic
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datalorax
Convert models to LaTeX equations
For *MASS::polr* models the output I get from `extract_eq()` looks something like this:  Here the left-hand side of the equation seems to have the form *logit(P(j >= j+1))*. I...
lm(lwage~exper+educ+feduc, wooldridge::wage2) |> equatiomatic::extract_eq(use_coefs = TRUE) $$ \operatorname{\widehat{lwage}} = 5.44 + 0.02(\operatorname{**\exper**}) + 0.07(\operatorname{educ}) + 0.02(\operatorname{feduc}) $$
When estimating lme4 models with multiple random slopes, the results include variances (σ²) and covariances (ρ) for each of the terms and their random intercepts, like `female` (β1) and `ses`...
Added as an issue to track decisions and discussion. Given that the internals of the main functions may be significantly different for different models, my first thought is to refactor...
Before making a PR related to this, I was wondering if you would be open to this. If you agree, I will open a PR. # rationale `parameters` (https://easystats.github.io/parameters/) has...
Hi, I am having an issue trying to use equatiomatic with lme4, please see below: ``` d = dplyr::tribble( ~study, ~treat, ~n, ~event, ~control, 1, 0, 377, 113, 1, 1,...
I took this example from the documentation:  I think the notation of the "alpha" term is somewhat confusing, and also (I think) non-standard,...
I love this package! It's so useful for writing my lmer model formulas. I see that you are in the process of adding support for glmer models, which is great;...
Great initiative! Often, regression equations are reported so as to indicate the dimensions over which variables vary, like in (LaTeX) $$ y_i=\beta_0+\beta_1x_i+u_i, $$ typically for cross-sectional data, $$ y_t=\beta_0+\beta_1x_t+u_t, $$...
Hi there, great package! Just a suggestion to add support for `quantreg::rq` objects. ```r library(equatiomatic) library(quantreg) # Fit a simple model mod1
