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ic.infer (version 1.1-7)

Inequality Constrained Inference in Linear Normal Situations

Description

Implements inequality constrained inference. This includes parameter estimation in normal (linear) models under linear equality and inequality constraints, as well as normal likelihood ratio tests involving inequality-constrained hypotheses. For inequality-constrained linear models, averaging over R-squared for different orderings of regressors is also included.

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Version

Install

install.packages('ic.infer')

Monthly Downloads

1,095

Version

1.1-7

License

GPL (>= 2)

Last Published

October 4th, 2023

Functions in ic.infer (1.1-7)

bodyfat

Body fat data from Kutner et al. 2004
ic.weights

functions for calculating the distributions of normal distribution order-related likelihood ratio tests
internal.functions

internal functions not intended for the user
orlm

Functions for order restricted linear regression estimation and testing
make.mon.ui

Function for creating the matrix ui for monotonicity (in)equality restrictions
contr.diff

Contrast function for factors with ordered values that yields increment coefficients
ic.test

Function for testing inequality-related hypotheses for multivariate normal random variables
ic.infer

Package for inequality-constrained estimation and testing
grades

Data set grades: Grade point averages by HSR and ACTC
or.relimp

Function to calculate relative importance for order-restricted linear models
ic.est

Functions for order-restricted estimates and printing thereof