Represents the basis functions for Bsplines in a simple
matrix formulation that facilitates, taking integrals,
derivatives, and orthogonalizing the basis functions.

Represents the basis functions for B-splines in a simple matrix
formulation that facilitates, taking integrals, derivatives, and
making orthogonal the basis functions.

Collection of functions for orthogonal polynomials
A collection of functions to construct sets of orthogonal
polynomials and their recurrence relations. Additional functions
are provided to calculate the derivative, integral, value and roots
of lists of polynomial objects.

Collection of functions for orthogonal and orthonormal polynomials

Collection of functions for orthogonal and orthonormal
polynomials
A collection of functions to construct sets of orthogonal
polynomials and their recurrence relations. Additional
functions are provided to calculate the derivative, integral,
value and roots of lists of polynomial objects.

Collection of Functions for Orthogonal and Orthonormal
Polynomials

Design and analysis of observational studies
Sebastien Haneuse, Takumi Saegusa, Nilanjan Chaterjee, Norman
Breslow
The osDesign serves for planning an observational study.
Currently, functionality is focused on the two-phase and
case-control designs. Functions in this packages provides Monte
Carlo based evaluation of operating characteristics such as
powers for estimators of the components of a logistic
regression model.

Sebastien Haneuse, Takumi Saegusa, Nilanjan Chaterjee, Norman Breslow, Elizabeth Smoot
The osDesign serves for planning an observational study. Currently, functionality is focused on the two-phase and case-control designs. Functions in this packages provides Monte Carlo based evaluation of operating characteristics such as powers for estimators of the components of a logistic regression model.

Design, Planning and Analysis of Observational Studies
Sebastien Haneuse, Takumi Saegusa, Nilanjan Chaterjee, Norman Breslow
A suite of functions for the design of case-control and two-phase studies, and the analysis of data that arise from them. Functions in this packages provides Monte Carlo based evaluation of operating characteristics such as powers for estimators of the components of a logistic regression model. For additional detail see: Haneuse S, Saegusa T and Lumley T (2011)<doi:10.18637/jss.v043.i11>.