Hayeslib

allclose | Check whether all elements of array or vector like objects... |

autoplot.cv.glmnet | Plot cross-validated elastic net paths |

beta_ols | Get OLS regression coefficients |

compare_coefs | Compare coefficients values across two different models |

constants_like | Create object of same shape and type as 'x' filled with value... |

count_non_na | Count non-NA values in a vector |

diag_like | Create an identity matrix matching a vector |

dmvn_arma | Calculate multivariate normal densities |

get_shareable_link_to_data | Get an immediately shareable / pasteable link to data |

ggpie | Create a pie chart in ggplot2 |

hayeslib | hayeslib: a package to learn about packages. #meta |

linspace | Returns evenly spaced numbers. |

logspace | Returns numbers evenly spaced in logspace. |

lzy_chr | Create character vector without quotes |

lzy_impute | Mean impute and optionally add missingness indicator |

mcmc_hpd_int | Plot 95 percent HPD credible intervals for posterior samples |

mcmc_stats | Compute common statistics on posterior samples |

mcmc_trace | Create a trace plot from a dataframe of posterior samples |

mutate_by | Mutate by group with less boilerplate |

na_counts | Summarize missing data in each column of a dataframe |

num_levels | Count the number of unique factor level combinations present... |

pdf_table | Add a nicely formatted table to a PDF knitr from R markdown |

perc | Generic to calculate percentages in the same vein as... |

quad_form | Calculate the value of a quadratic form |

reexports | Objects exported from other packages |

remove_na | Remove all NA values for a vector |

rmse | Get the RMSE of a set of predictions |

rmvn | Sample from the multivariate normal distribution |

rmvn_arma | Sample from the multivariate normal distribution |

rmvn_ql | Sample efficiently from the MVN parameterized by Q matrix and... |

sample_n_feats | Sample n features from a data frame randomly |

sample_n_groups | Sample random groups from a dataframe with NSE |

spread_keep | Spread, but keep the key column |

summarize_by | Summarize by group with less boilerplate |

t_df | Transpose a dataframe |

t_mcmc | Collect posterior samples into a list column |

to_na | Set an arbitrary number of elements in a vector to NA |

top_n_groups | Select rows in the top n groups according to some... |

var_plot | Plot the variable importance of a ranger object |

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