High-Dimensional Inference

boot.lasso.proj | P-values based on the bootstrapped lasso projection method |

clusterGroupBound | Hierarchical structure group tests in linear model |

fdr.adjust | Function to calculate FDR adjusted p-values |

glm.pval | Function to calculate p-values for a generalized linear... |

groupBound | Lower bound on the l1-norm of groups of regression variables |

hdi | Function to perform inference in high-dimensional... |

hdi-package | hdi |

lasso.cv | Select Predictors via (10-fold) Cross-Validation of the Lasso |

lasso.firstq | Determine the first q Predictors in the Lasso Path |

lasso.proj | P-values based on lasso projection method |

lm.ci | Function to calculate confidence intervals for ordinary... |

lm.pval | Function to calculate p-values for ordinary multiple linear... |

multi.split | Calculate P-values Based on Multi-Splitting Approach |

plotClusterGroupBound | Plot output of hierarchical testing of groups of variables |

riboflavin | Riboflavin data set |

ridge.proj | P-values based on ridge projection method |

rXb | Generate Data Design Matrix X and Coefficient Vector beta |

stability | Function to perform stability selection |

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