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Create multiple formulas with formulas() inside map()...


rmodelr

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Bootstrapped standard errors and p-value from weighted mann-whitney test...


rtidyversepurrrstatistics-bootstrapmodelr

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k fold cross validation in purrr and model...


rpurrrmodelr

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How to implement "broom" package in R...


rtidyversebroomrstatixmodelr

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Using modelrs bootstrap in R for medians...


rdplyrresamplingpurrrmodelr

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Using predictNLS to create confidence intervals around fitted values in R?...


rdplyrnlsmodelr

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Generating multiple sets of predictions and prediction intervals for fitted points in R...


rdplyrpurrrpredictmodelr

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Using predict() across multiple models to generate confidence intervals in R...


rmodelpurrrpredictmodelr

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How do I extract parameters from listed models in R?...


rdplyrmodelmodelr

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Getting predictions from one dataset for multiple models in R...


rpredictmodelr

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Using purrr and modelr to make predictions from dose-response models (drm)...


rdplyrpurrrdrcmodelr

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run model for each line of model parameters (meta) data.frame...


rpurrrmodelr

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Mapping a model to a permuted data set sometimes returns the model equation, rather than model outpu...


rpurrrmodelr

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Calculate all possible interactions in model_matrix...


rlmmodelr

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Error when using broom (augment) and modelr (crossv_kfold) on glm with an offset term...


roffsetglmbroommodelr

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when to use map() function and when to use summarise_at()/mutate_at()...


rpurrrmodelr

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Add predictions for models by group...


rdplyrregressiongroupingmodelr

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Expand one column in a tibble and have the descriptive columns follow...


rdataframezootibblemodelr

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Iterating though slightly different models in purrr...


rdplyrtidyversepurrrmodelr

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Access the estimate inside a model object in R...


rdplyrpurrrbroommodelr

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Group data by rep, fit model, and integrate curve...


rdplyrmodelr

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Using modelr::add_predictions for glm...


rglmtidyversemodelr

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