Estimation of Model-Based Predictions, Contrasts and Means


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Documentation for package ‘modelbased’ version 0.6.0

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as.numeric_ifnumeric Convert to Numeric if Possible
data_restoretype Restore the type of columns according to a reference data.frame
estimate_contrasts Estimate contrasts between factor levels
estimate_contrasts.lm Estimate contrasts
estimate_contrasts.stanreg Estimate contrasts
estimate_link Generates predictions from models
estimate_means Estimate average value of response variable at each factor levels
estimate_prediction Generates predictions from models
estimate_relation Generates predictions from models
estimate_response Generates predictions from models
estimate_slopes Estimate the slopes of a numeric predictor (over different factor levels)
estimate_slopes.glmmTMB Estimate the slopes of a numeric predictor (over different factor levels)
estimate_slopes.lm Estimate the slopes of a numeric predictor (over different factor levels)
estimate_slopes.stanreg Estimate the slopes of a numeric predictor (over different factor levels)
estimate_smooth Describe the smooth term (for GAMs) or non-linear predictors
find_inversions Find points of inversion
smoothing Smoothing a vector or a time series
visualisation_matrix Create a reference grid
zero_crossings Find zero crossings of a vector