Refit a mht.order object for a new observation Ynew and/or a new order ordrenew
● Data Source:
CranContrib
● Keywords:
● Alias: refit.mht.order
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graphical output for a bolasso object. Plot the frequency of selection of each variable depending on the regularization parameter mu from the "bolasso" object.
● Data Source:
CranContrib
● Keywords:
● Alias: plot.bolasso
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Graphical output for a mht or mht.order object. Four plots (selectable by which.plot) are currently available: a plot of the fitted values against the true values, a plot of the residuals against the fitted values, a Normal Q-Q plot, and a barplot showing the coefficients.
● Data Source:
CranContrib
● Keywords:
● Alias: plot.mht, plot.mht.order
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Scale the data so each column has mean 0 and variance 1. This function is used as a pre-processing step to prep the data for analysis in all functions of the mht package.
● Data Source:
CranContrib
● Keywords:
● Alias: data.scale
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Gives an order to the variables and rearrange the input matrix following that order.
● Data Source:
CranContrib
● Keywords:
● Alias: order.variables
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mht
(Package: mht) :
Performs multiple hypotheses testing in a linear model
● Data Source:
CranContrib
● Keywords:
● Alias: mht
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quantilemht
(Package: mht) :
Calculation of the quantiles for the mht procedure
Calculation of the quantiles for the mht procedure
● Data Source:
CranContrib
● Keywords:
● Alias: quantilemht
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Orthonormalization of an input matrix with the Gram-Schmidt algorithm.
● Data Source:
CranContrib
● Keywords:
● Alias: decompbaseortho
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Multiple hypothesis testing for variable selection in high dimensional linear models.
This package performs variable selection with multiple hypothesis testing, either for ordered variable selection or non-ordered variable selection. In both cases, a sequential procedure is performed. It starts to test the null hypothesis "no variable is relevant"; if this hypothesis is rejected, it then tests "only the first variable is relevant", and so on until the null hypothesis is accepted.
More details are available in the paper ‘Multiple hypothesis testing for variable selection’, Rohart F. (2011).
● Data Source:
CranContrib
● Keywords:
● Alias: mht-package
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Predict a mht or mht.order object for new data newx
● Data Source:
CranContrib
● Keywords:
● Alias: predict.mht, predict.mht.order
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providing 
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