Last data update: 2014.03.03

Data Source

R Release (3.2.3)
CranContrib
BioConductor
All

Data Type

Packages
Functions
Images
Data set

Classification

Results 1 - 10 of 11 found.
[1] < 1 2 > [2]  Sort:

predict.iCoxBoost (Package: CoxBoost) : Predict method for iCoxBoost fits

Obtains predictions at specified boosting steps from a iCoxBoost object fitted by iCoxBoost.
● Data Source: CranContrib
● Keywords: models
● Alias: predict.iCoxBoost
1 images

predict.CoxBoost (Package: CoxBoost) : Predict method for CoxBoost fits

Obtains predictions at specified boosting steps from a CoxBoost object fitted by CoxBoost.
● Data Source: CranContrib
● Keywords: models
● Alias: predict.CoxBoost
1 images

plot.CoxBoost (Package: CoxBoost) : Plot coefficient paths from CoxBoost fit

Plots coefficient paths, i.e. the parameter estimates plotted against the boosting steps as obtained from a CoxBoost object fitted by CoxBoost.
● Data Source: CranContrib
● Keywords:
● Alias: plot.CoxBoost
● 0 images

optimStepSizeFactor (Package: CoxBoost) : Coarse line search for optimum step-size modification factor

This routine helps in finding an optimum step-size modification factor for CoxBoost, i.e., that results in an optimum in terms of cross-validated partial log-likelihood.
● Data Source: CranContrib
● Keywords: models
● Alias: optimStepSizeFactor
● 0 images

optimCoxBoostPenalty (Package: CoxBoost) : Coarse line search for adequate penalty parameter

This routine helps in finding a penalty value that leads to an “optimal” number of boosting steps for CoxBoost, determined by cross-validation, that is not too small/in a specified range.
● Data Source: CranContrib
● Keywords: models
● Alias: optimCoxBoostPenalty
● 0 images

iCoxBoost (Package: CoxBoost) : Interface for cross-validation and model fitting using a formula description

Formula interface for fitting a Cox proportional hazards model by componentwise likelihood based boosting (via a call to CoxBoost), where cross-validation can be performed automatically for determining the number of boosting steps (via a call to cv.CoxBoost).
● Data Source: CranContrib
● Keywords: models
● Alias: iCoxBoost
2 images

estimPVal (Package: CoxBoost) : Estimate p-values for a model fitted by CoxBoost

Performs permutation-based p-value estimation for the optional covariates in a fit from CoxBoost.
● Data Source: CranContrib
● Keywords: models
● Alias: estimPVal
● 0 images

cvcb.control (Package: CoxBoost) : Control paramters for cross-validation in code{iCoxBoost

This function allows to set the control parameters for cross-validation to be passed into a call to iCoxBoost.
● Data Source: CranContrib
● Keywords: models
● Alias: cvcb.control
● 0 images

cv.CoxBoost (Package: CoxBoost) : Determines the optimal number of boosting steps by cross-validation

Performs a K-fold cross-validation for CoxBoost in search for the optimal number of boosting steps.
● Data Source: CranContrib
● Keywords: models
● Alias: cv.CoxBoost
● 0 images

coef.CoxBoost (Package: CoxBoost) : Coeffients from CoxBoost fit

Extracts the coefficients from the specified boosting steps of a CoxBoost object fitted by CoxBoost.
● Data Source: CranContrib
● Keywords:
● Alias: coef.CoxBoost
● 0 images