add_predictions |
Add predictions to a data frame |
add_predictors |
Add predictors to a formula |
add_residuals |
Add residuals to a data frame |
bootstrap |
Generate 'n' bootstrap replicates. |
crossv_kfold |
Generate test-training pairs for cross-validation |
crossv_loo |
Generate test-training pairs for cross-validation |
crossv_mc |
Generate test-training pairs for cross-validation |
data_grid |
Generate a data grid. |
fit_with |
Fit a list of formulas |
formulae |
Create a list of formulas |
formulas |
Create a list of formulas |
gather_predictions |
Add predictions to a data frame |
gather_residuals |
Add residuals to a data frame |
geom_ref_line |
Add a reference line (ggplot2). |
heights |
Height and income data. |
mae |
Compute model quality for a given dataset |
mape |
Compute model quality for a given dataset |
model-quality |
Compute model quality for a given dataset |
model_matrix |
Construct a design matrix |
mse |
Compute model quality for a given dataset |
na.warn |
Handle missing values with a warning |
permute |
Generate 'n' permutation replicates. |
permute_ |
Generate 'n' permutation replicates. |
qae |
Compute model quality for a given dataset |
resample |
A "lazy" resample. |
resample_bootstrap |
Generate a boostrap replicate |
resample_partition |
Generate an exclusive partitioning of a data frame |
resample_permutation |
Create a resampled permutation of a data frame |
rmse |
Compute model quality for a given dataset |
rsae |
Compute model quality for a given dataset |
rsquare |
Compute model quality for a given dataset |
seq_range |
Generate a sequence over the range of a vector |
sim |
Simple simulated datasets |
sim1 |
Simple simulated datasets |
sim2 |
Simple simulated datasets |
sim3 |
Simple simulated datasets |
sim4 |
Simple simulated datasets |
spread_predictions |
Add predictions to a data frame |
spread_residuals |
Add residuals to a data frame |
typical |
Find the typical value |