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.
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.
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.
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.
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.
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.
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
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.