Suggests: knitr, kableExtra, gridExtra, reshape2, zoo

Title: Statistical significance of the Markowitz portfolio
Description: a collection of tools for analyzing significance of

Title: Statistical Significance of the Markowitz Portfolio
Collate: 'MarkowitzR.r' 'portinf.r' 'utils.r' 'vcov.r'

Description: A collection of tools for analyzing significance of

Suggests: sandwich, SharpeR, testthat, knitr

Title: Masking, Unmasking and Restoring Confidential Data
Author: Yan-Xia Lin [aut, cre], Luke Mazur [aut, cre], Jordan Morris [ctb]
Description: Three key functionalities are present. It is able to mask confidential data using multiplicative noise. It is able to unmask this data while still preserving confidentiality. It is able to calculate the numerical joint density function of the original data from the unmasked data, as well as obtaining a sample from the marginal density functions of the unmasked data. The final results are a reasonable approximation to the original data for the purposes of analysis (Lin et al. (2018) <http://www.tdp.cat/issues16/abs.a271a17.php>).

Maintainer: Erik-Jan van Kesteren <e.vankesteren1@uu.nl>
Description: Constructing matrices for quick prototyping can be a nuisance,
requiring the user to think about how to fill the matrix with values using
the matrix() function. The %<-% operator solves that issue by allowing the
user to construct matrices using code that shows the actual matrices.

Title: Maximum Likelihood and Markov chain Monte Carlo methods for Pedigree Reconstruction, Analysis and Simulation.
Description: The primary aim of MasterBayes is to use MCMC techniques to integrate over uncertainity in pedigree configurations estimated from molecular markers and phenotypic data.  Emphasis is put on the marginal distribution of parameters that relate the phenotypic data to the pedigree. All simulation is done in compiled C++ for efficency.
Packaged: Sun Oct  1 23:53:28 2006; hornik

Title: ML and MCMC Methods for Pedigree Reconstruction and Analysis
Description: The primary aim of MasterBayes is to use MCMC techniques to integrate over uncertainty in pedigree configurations estimated from molecular markers and phenotypic data.  Emphasis is put on the marginal distribution of parameters that relate the phenotypic data to the pedigree. All simulation is done in compiled C++ for efficency.
Packaged: Tue Oct 17 12:54:19 2006; hornik