Pierre-Andre Cornillon, Nicolas Hengartner, Eric Matzner-Lober

Multivariate smoothing using iterative bias reduction with kernel, thin plate splines, Duchon splines or low rank splines.

Calculate B-spline basis functions with a given set of  knots and order, or a B-spline function with a given set of knots and order and set of de Boor points (coefficients), or the integral of a B-spline function.

Calculate B-spline basis functions with a given set of knots and order, or a B-spline function with a given set of knots and order and set of de Boor points (coefficients), or the integral of a B-spline function.

Inequality constrained inference in linear normal situations
This package provides an interface to optimization methods for estimation under linear equality and inequality constraints and implements normal likelihood ratio tests involving inequality-constrained hypotheses.

R(>= 2.6.1), quadprog, mvtnorm, boot, kappalab
This package implements parameter estimation in normal (linear) models under linear equality and inequality constraints and implements 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.

R(>= 2.5.0), quadprog, mvtnorm, boot, kappalab

This package implements parameter estimation in normal
(linear) models under linear equality and inequality
constraints and implements 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.

Inequality Constrained Inference in Linear Normal Situations
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.