coffee_data | Sample dataset from a course about analysis of factorial... |
describe_nonlinear | Describe the smooth term (for GAMs) or non-linear predictors |
dot-uniroot.all | Copied from rootSolve package |
efc | Sample dataset from the EFC Survey |
estimate_contrasts | Estimate Marginal Contrasts |
estimate_expectation | Model-based predictions |
estimate_grouplevel | Group-specific parameters of mixed models random effects |
estimate_means | Estimate Marginal Means (Model-based average at each factor... |
estimate_slopes | Estimate Marginal Effects |
fish | Sample data set |
get_emmeans | Consistent API for 'emmeans' and 'marginaleffects' |
modelbased-options | Global options from the modelbased package |
modelbased-package | modelbased: Estimation of Model-Based Predictions, Contrasts... |
pool_contrasts | Pool contrasts and comparisons from 'estimate_contrasts()' |
pool_predictions | Pool Predictions and Estimated Marginal Means |
print.estimate_contrasts | Printing modelbased-objects |
reexports | Objects exported from other packages |
smoothing | Smoothing a vector or a time series |
visualisation_recipe.estimate_predicted | Automated plotting for 'modelbased' objects |
zero_crossings | Find zero-crossings and inversion points |
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