| boot.glmnet | Calculate confidence intervals for lasso using bootstrap |
| brca1 | Breast cancer gene expression data from The Cancer Genome... |
| CIplot | Plot confidence intervals (NEEDS DOCUMENTATION) |
| cv.adaptive_lasso | Adaptive lasso with cross-validation, using lasso(BIC) as... |
| datasets | Datasets available in the hdrm package |
| downloadData | Download data and read into R |
| Ex1.1 | Reproduce Example 1.1 |
| Ex1.2 | Reproduce Example 1.2 |
| Ex3.1 | Reproduce Example 3.1 |
| Ex4.2 | Reproduce Example 4.2 |
| Ex4.3 | Reproduce Example 4.3 and Figure 4.2 |
| Ex4.4 | Reproduce Example 4.4 and Figure 4.3 |
| Ex6.1 | Reproduce Example 6.1 and Figure 6.1 |
| Ex6.2 | Reproduce Example 6.2 and Figure 6.3 |
| Ex6.3 | Reproduce Example 6.3 and Figure 6.5 |
| Ex9.1 | Reproduce Example 9.1 |
| Ex9.2 | Reproduce Example 9.2 |
| Fig1.1 | Reproduce Figure 1.1 |
| Fig1.2 | Reproduce Figure 1.2 |
| Fig1.3 | Reproduce Figure 1.3 |
| Fig1.4 | Reproduce Figure 1.4 |
| Fig1.5 | Reproduce Figure 1.5 |
| Fig2.1 | Reproduce Figure 2.1 |
| Fig2.10 | Reproduce Figure 2.10 |
| Fig2.11 | Reproduce Figure 2.11 |
| Fig2.12 | Reproduce Figure 2.12 |
| Fig2.2 | Reproduce Figure 2.2 |
| Fig2.3 | Reproduce Figure 2.3 |
| Fig2.4 | Reproduce Figure 2.4 |
| Fig2.5 | Reproduce Figure 2.5 |
| Fig2.6 | Reproduce Figure 2.6 |
| Fig2.7 | Reproduce Figure 2.7 |
| Fig2.8 | Reproduce Figure 2.8 |
| Fig2.9 | Reproduce Figure 2.9 |
| Fig3.1 | Reproduce Figure 3.1 |
| Fig3.2 | Reproduce Figure 3.2 |
| Fig3.3 | Reproduce Figure 3.3 |
| Fig3.4 | Reproduce Figure 3.4 |
| Fig3.5 | Reproduce Figure 3.5 |
| Fig3.6 | Reproduce Figure 3.6 |
| Fig3.7 | Reproduce Figure 3.7 |
| Fig3.8 | Reproduce Figure 3.8 |
| Fig3.9 | Reproduce Figure 3.9 |
| Fig4.1 | Reproduce Figure 4.1 |
| Fig4.4 | Reproduce Figure 4.4 |
| Fig6.4 | Reproduce Figure 6.4 |
| Fig6.6 | Reproduce Figure 6.6 |
| Fig9.1 | Reproduce Figure 9.1 |
| Fig9.2 | Reproduce Figure 9.2 |
| Fig9.3 | Reproduce Figure 9.3 |
| Fig9.4 | Reproduce Figure 9.4 |
| gen_data | Simulate data for regression models |
| genData | Simulate data for regression models |
| gen_data_abn | Simulate data according to Causal/Correlated/Noise paradigm |
| genDataABN | Simulate data according to Causal/Correlated/Noise paradigm |
| gen_data_grp | Simulate grouped data for regression models |
| genDataGrp | Simulate grouped data for regression models |
| genOrtho | Simulate data for regression models in which the design... |
| glioma | Array CGH data of a glioblastoma tumor |
| Golub1999 | Gene expression in leukemia patients |
| hdrm-package | hdrm: High-Dimensional Regression Modeling |
| Koussounadis2014 | Carbotax study of ovarian tumor growth |
| log_axis | Make a log-scale axis |
| pal | Generate a nice palette of colors |
| plot.ridge | Plot a ridge regression coefficient path |
| pollution | Air pollution and mortality in US metropolitan areas |
| Ramaswamy2001 | Multiclass cancer prediction involving 14 tumor types |
| Rhee2006 | HIV Drug Resistance Mutations |
| ridge | Ridge regression |
| Scheetz2006 | Gene expression in the mammalian eye |
| Shedden2008 | Survival analysis of lung cancer patients |
| Singh2002 | Case-control study of prostate cancer |
| spam | Classification of e-mail into spam |
| Tab1.1 | Reproduce Table 1.1 |
| Tab4.1 | Reproduce Table 4.1 |
| Tab4.2 | Reproduce Table 4.2 |
| Tab9.1 | Reproduce Table 9.1 |
| toplegend | Make a legend on top or right side of plot |
| whoari | World Health Organization study on acute respiratory... |
| Yeoh2002 | Classification of acute lymphoblastic leukemia subtypes |
