hdi v0.1-6
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High-Dimensional Inference
Implementation of multiple approaches to perform inference in high-dimensional models.
Functions in hdi
| Name | Description | |
| lm.pval | Function to calculate p-values for ordinary multiple linear regression. | |
| glm.pval | Function to calculate p-values for a generalized linear model. | |
| ridge.proj | P-values based on ridge projection method | |
| stability | Function to perform stability selection | |
| hdi-package | hdi | |
| lm.ci | Function to calculate confidence intervals for ordinary multiple linear regression. | |
| lasso.proj | P-values based on lasso projection method | |
| multi.split | Calculate P-values Based on Multi-Splitting Approach | |
| riboflavin | Riboflavin data set | |
| fdr.adjust | Function to calculate FDR adjusted p-values | |
| hdi | Function to perform inference in high-dimensional (generalized) linear models | |
| lasso.firstq | Determine the first q Predictors in the Lasso Path | |
| lasso.cv | Select Predictors via (10-fold) Cross-Validation of the Lasso | |
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Details
| Type | Package |
| Date | 2016-03-21 |
| DependsNote | scalreg does not correctly import lars etc, so we need to depend on it |
| SuggestsNote | for tests only |
| Encoding | UTF-8 |
| License | GPL |
| NeedsCompilation | no |
| Packaged | 2016-03-21 13:32:38 UTC; meierluk |
| Repository | CRAN |
| Date/Publication | 2016-03-21 23:19:29 |
| imports | glmnet , graphics , grDevices , linprog , MASS , parallel , stats |
| suggests | Matrix |
| depends | scalreg |
| Contributors | Ruben Dezeure, Martin Maechler, Peter Buehlmann, Nicolai Meinshausen, Lukas Meier |
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