plot.clusterGroupBound
(Package: hdi) :
Plot output of hierarchical testing of groups of variables
The plot() method for "clusterGroupBound" objects plots the outcome of applying a lower bound on the l1-norm on groups of variables in a hierarchical clustering tree.
● Data Source:
CranContrib
● Keywords: htest, regression
● Alias: plot.clusterGroupBound
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Sexpr[results=rd,stage=build]{tools:::Rd_package_description("hdi")} Details The DESCRIPTION file: Sexpr[results=rd,stage=build]{tools:::Rd_package_DESCRIPTION("hdi")} Sexpr[results=rd,stage=build]{tools:::Rd_package_indices("hdi")}
● Data Source:
CranContrib
● Keywords: package
● Alias: hdi-package
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clusterGroupBound
(Package: hdi) :
Hierarchical structure group tests in linear model
Computes confidence intervals for the l1-norm of groups of linear regression coefficients in a hierarchical clustering tree.
● Data Source:
CranContrib
● Keywords: confidence intervals, hierarchical clustering, regression
● Alias: clusterGroupBound
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lasso.firstq
(Package: hdi) :
Determine the first q Predictors in the Lasso Path
Determines the q predictors that enter the lasso path first.
● Data Source:
CranContrib
● Keywords: models, regression
● Alias: lasso.firstq
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hdi
(Package: hdi) :
Function to perform inference in high-dimensional (generalized) linear models
Perform inference in high-dimensional (generalized) linear models using various approaches.
● Data Source:
CranContrib
● Keywords: models, regression
● Alias: hdi
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rXb
(Package: hdi) :
Generate Data Design Matrix eqn{X
Generate a random design matrix X and coefficient vector β useful for simulations of (high dimensional) linear models. In particular, the function rXb() can be used to exactly recreate the reference linear model datasets of the hdi paper.
● Data Source:
CranContrib
● Keywords: datagen, regression
● Alias: rX, rXb
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lm.ci
(Package: hdi) :
Function to calculate confidence intervals for ordinary multiple
Calculates (classical) confidence intervals for an ordinary multiple linear regression model in the n > p situation.
● Data Source:
CranContrib
● Keywords: models, regression
● Alias: lm.ci
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glm.pval
(Package: hdi) :
Function to calculate p-values for a generalized linear model.
Calculates (classical) p-values for an ordinary generalized linear model in the n > p situation.
● Data Source:
CranContrib
● Keywords: models, regression
● Alias: glm.pval
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groupBound
(Package: hdi) :
Lower bound on the l1-norm of groups of regression variables
Computes a lower bound that forms a one-sided confidence interval for the group l1-norm of a specified group of regression parameters. It is assumed that errors have a Gaussian distribution with unknown noise level. The underlying vector that inference is made about is the l1-sparsest approximation to the noiseless data.
● Data Source:
CranContrib
● Keywords: confidence intervals, regression
● Alias: groupBound
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ridge.proj
(Package: hdi) :
P-values based on ridge projection method
Compute p-values for lasso-type regression coefficients based on the ridge projection method.
● Data Source:
CranContrib
● Keywords: models, regression
● Alias: ridge.proj
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