Last data update: 2014.03.03

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Results 1 - 9 of 9 found.
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or.relimp (Package: ic.infer) : Function to calculate relative importance for order-restricted

The function calculates relative importance by averaging over the variables R-squared contributions from all orderings of variables for linear models with inequality restrictions on the parameters. NOTE: only useful if each restriction refers to exactly one variable, or if it is adequate to reduce multi-variable restrictions by omitting the affected variables but leaving the restriction otherwise intact.
● Data Source: CranContrib
● Keywords: models, multivariate, regression
● Alias: all.R2, or.relimp, or.relimp.default, or.relimp.lm
● 0 images

ic.weights (Package: ic.infer) : functions for calculating the distributions of normal distribution

Test statistics of normal distribution-based order-related likelihood ratio tests are often distributed as mixtures of chi-square or beta-distributions with different parameters. These functions determine the mixing weights and the cumulative distribution functions based on these. They can be directly used and are called by function ic.test.
● Data Source: CranContrib
● Keywords: multivariate
● Alias: ic.weights, pbetabar, pchibar
● 0 images

contr.diff (Package: ic.infer) : Contrast function for factors with ordered values that yields increment coefficients

Function contr.diff is a contrast function for factors with ordered values. Coefficients for factors formatted with contr.diff are the increments from the current level to the neighbouring lower level.
● Data Source: CranContrib
● Keywords: multivariate, optimize
● Alias: contr.diff
● 0 images

make.mon.ui (Package: ic.infer) : Function for creating the matrix ui for monotonicity (in)equality restrictions

Function make.mon.ui creates the matrix ui for a factor, depending on its coding.
● Data Source: CranContrib
● Keywords: multivariate, optimize
● Alias: make.mon.ui
● 0 images

ic.infer (Package: ic.infer) : Package for inequality-constrained estimation and testing

Package ic.infer implements estimation and testing for multivariate normal expectations with linear equality- and inequality constraints. This also includes inference on linear models with linear equality- and inequality constraints on the parameters. Decomposition of R-squared is also included for these models.
● Data Source: CranContrib
● Keywords: htest, models, multivariate, regression
● Alias: ic.infer, ic.infer-package
● 0 images

ic.test (Package: ic.infer) : Function for testing inequality-related hypotheses for multivariate

ic.test tests linear inequality hypotheses for multivariate normal means by likelihood ratio tests. print and summary functions display results in different degrees of detail.
● Data Source: CranContrib
● Keywords: htest, multivariate
● Alias: ic.test, print.ict, summary.ict
● 0 images

ic.est (Package: ic.infer) : Functions for order-restricted estimates and printing thereof

Function ic.est estimates a mean vector under linear inequality constraints, functions print.orest and summary.orest provide printed results in different degrees of detail.
● Data Source: CranContrib
● Keywords: multivariate, optimize
● Alias: ic.est, print.orest, summary.orest
● 0 images

internal.functions (Package: ic.infer) : internal functions not intended for the user

nchoosek is originally taken from package vsn by Wolfgang Huber, GaussianElimination and RREF have been provided by John Fox in R-help and have been modified by the author to provide more output
● Data Source: CranContrib
● Keywords: multivariate
● Alias: GaussianElimination, RREF, nchoosek
● 0 images

orlm (Package: ic.infer) : Functions for order restricted linear regression estimation and testing

Function orlm calculates order-restricted linear models (linear equality and inequality constraints). It uses the internal function boot.orlm for bootstrapping, which in turn uses the internal functions orlm.forboot... . The remaining functions extract coefficients, provide a residual plot, give a short printout or a more extensive summary.
● Data Source: CranContrib
● Keywords: htest, models, multivariate, regression
● Alias: boot.orlm, coef.orlm, orlm, orlm.default, orlm.forboot, orlm.forboot.fixed, orlm.lm, plot.orlm, print.orlm, summary.orlm
● 0 images