Under the hood, marginaleffects’s predictions and marginalmeans functions use the insight package to retrieve adjusted predictions from a wide variety of models. Currently, insight supports very many model types, and most should work out-of-the-box with the predictions function. If you run into problems, do not hesitate to report them on Github or via email.
This table shows the list of 62 model types for which the marginaleffects() function can compute slopes and contrasts. There are three main alternative software packages to compute such slopes (1) Stata’s margins command, (2) R’s margins::margins function, and (3) R’s emmeans::emtrends function. The test suite hosted on Github compares the numerical equivalence of results produced by marginaleffects to those produced by all 3 alternative software packages:
marginaleffects.I am very eager to add support for new models. Feel free to file a request or submit code on Github.
| Package | Function | dY/dX | SE | dY/dX | SE | dY/dX | SE |
|---|---|---|---|---|---|---|---|
| stats | lm | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| glm | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |
| loess | ✓ | U | U | ||||
| AER | ivreg | ✓ | ✓ | ✓ | ✓ | U | U |
| tobit | ✓ | ✓ | U | U | ✓ | ✓ | |
| aod | betabin | U | U | U | U | ||
| betareg | betareg | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| bife | bife | U | U | U | U | ||
| brglm2 | bracl | U | U | U | U | ||
| brglmFit | ✓ | ✓ | ✓ | ✓ | |||
| brnb | ✓ | ✓ | U | U | |||
| brmultinom | U | U | U | U | |||
| brms | brm | U | U | ✓ | ✓ | ||
| crch | crch | U | U | U | U | ||
| hxlr | U | U | U | U | |||
| estimatr | lm_lin | ||||||
| lm_robust | ✓ | ✓ | ✓ | U | ✓ | ✓ | |
| iv_robust | ✓ | ✓ | U | U | U | U | |
| fixest | feols | ✓ | ✓ | U | U | U | U |
| feglm | U | U | U | U | |||
| fepois | ✓ | ✓ | U | U | U | U | |
| gam | gam | U | U | ✓ | ✓ | ||
| geepack | geeglm | U | U | ✓ | ✓ | ||
| glmmTMB | glmmTMB | U | U | ✓ | ✓ | ||
| glmx | glmx | ✓ | U | U | U | ||
| ivreg | ivreg | ✓ | ✓ | ✓ | ✓ | U | U |
| lme4 | lmer | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| glmer | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |
| glmer.nb | ✓ | ✓ | ✓ | ✓ | |||
| lmerTest | lmer | ✓ | ✓ | ✓ | ✓ | ||
| MASS | glmmPQL | U | U | ✓ | ✓ | ||
| glm.nb | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |
| polr | ✓ | ✓ | ✖ | ✖ | ✓ | ✓ | |
| rlm | ✓ | ✓ | ✓ | ✓ | |||
| mclogit | mblogit | U | U | U | U | ||
| mclogit | U | U | U | U | |||
| mgcv | gam | U | U | ✓ | ✓ | ||
| mhurdle | mhurdle | ✓ | ✓ | U | U | ||
| mlogit | mlogit | U | U | U | U | ||
| nlme | gls | U | U | ✓ | ✓ | ||
| nnet | multinom | ✓ | ✖ | U | U | U | U |
| ordbetareg | ordbetareg | U | U | ||||
| ordinal | clm | ✓ | ✓ | U | U | U | U |
| plm | plm | ✓ | ✓ | ✓ | ✓ | U | U |
| pscl | hurdle | ✓ | U | ✓ | ✖ | ||
| zeroinfl | ✓ | ✓ | ✓ | U | ✓ | ✓ | |
| quantreg | rq | ✓ | ✓ | U | U | ✓ | ✓ |
| rms | lrm | U | U | ✓ | ✓ | ||
| robust | lmRob | U | U | U | U | ||
| robustbase | glmrob | ✓ | ✓ | U | U | ||
| lmrob | ✓ | ✓ | U | U | |||
| robustlmm | rlmer | U | U | ||||
| rstanarm | stan_glm | ✖ | U | ✓ | ✓ | ||
| sampleSelection | selection | U | U | U | U | ||
| heckit | U | U | U | U | |||
| scam | scam | U | U | U | U | ||
| speedglm | speedglm | ✓ | ✓ | ✓ | ✓ | U | U |
| speedlm | ✓ | ✓ | ✓ | ✓ | U | U | |
| survey | svyglm | ✓ | ✓ | ✓ | ✓ | ||
| survival | coxph | ✓ | ✓ | U | U | ✓ | ✓ |
| tobit1 | tobit1 | ✓ | ✓ | U | U | ||
| truncreg | truncreg | ✓ | ✓ | ✓ | ✓ | U | U |