Title: Regression Analysis of Panel Fractional Responses
Description: Estimation of panel data regression models for fractional responses.

Title: Financial Risk Management and Quantitative Analysis
Maintainer: Thanh T. Tran <package.frmqa@gmail.com>
Description: R and C++ functions for financial risk management and
quantative analysis, using the generalized perbolic and its

Maintainer: Thanh T. Tran <frmqa.package@gmail.com>

Title: The Generalized Hyperbolic Distribution, Related Distributions
Description: A collection of R and C++ functions to work with the
generalized hyperbolic distribution, related distributions and
their applications in financial risk management and

Description: Fast computation of moments via 'Rcpp'. Supports computation on
vectors and matrices, and Monoidal append of moments.
Suggests: testthat, moments, PDQutils, microbenchmark

Description: Fast, numerically robust computation of weighted moments via 'Rcpp'.
Supports computation on vectors and matrices, and Monoidal append of moments.
Moments and cumulants over running fixed length windows can be computed,
Moment computations are via a generalization of Welford's method, as described
Suggests: knitr, testthat, moments, PDQutils, e1071, microbenchmark

Description: Maximum Likelihood Estimation of
Stochastic Frontier Production and Cost Functions.
the error components specification with time-varying efficiencies
and a model specification in which the firm effects are directly
influenced by a number of variables (Battese and Coelli, 1995).
Packaged: Thu Oct 16 12:45:45 2008; suapm095

Packaged: Sat Dec  6 16:25:46 2008; suapm095

Packaged: Wed Jan 14 11:26:28 2009; suapm095

Description: Maximum Likelihood Estimation of Stochastic Frontier
Production and Cost Functions. Two specifications are
available: the error components specification with time-varying
efficiencies (Battese and Coelli, 1992) and a model
specification in which the firm effects are directly influenced
by a number of variables (Battese and Coelli, 1995).

Imports: moments (>= 0.11), lmtest (>= 0.9-24)