Title: Optimal pricing of assets with fixed expiry date.
Description: Calculates the optimal price of assets (such as airline
flight seats, hotel room bookings) whose value becomes zero
after a fixed ``expiry date''.  Assumes potential customers
arrive (possibly in groups) according to a known inhomogeneous
Poisson process.  Also assumes a known time-varying elasticity
of demand (price sensitivity) function.  Uses elementary
techniques based on ordinary differential equations, solved
numerically via the method of Runge-Kutta.

Description: Calculates the optimal price of assets (such as
airline flight seats, hotel room bookings) whose value
becomes zero after a fixed ``expiry date''.  Assumes
potential customers arrive (possibly in groups) according
to a known inhomogeneous Poisson process.  Also assumes a
known time-varying elasticity of demand (price sensitivity)
function.  Uses elementary techniques based on ordinary
differential equations, solved numerically via the method
of Runge-Kutta. Now uses the package deSolve to effect
the solution of the differential equations.

differential equations.  Uses the package deSolve to effect
the solution of these differential equations.

Title: Optimal Pricing of Assets with Fixed Expiry Date

Package: AssocAFC
Type: Package
Title: Allele Frequency Comparison
Version: 1.0.1
Author: Khalid B. Kunji [aut, cre], Mohamad Saad [aut]
Authors@R: c(person(given = "Khalid B.", family = "Kunji", role = c("aut",
"cre"), email = "kkunji@hbku.edu.qa"), person(given = "Mohamad",
family = "Saad", role = c("aut"), email = "msaad@hbku.edu.qa"))
Maintainer: Khalid B. Kunji <kkunji@hbku.edu.qa>
Repository: CRAN
Description: When doing association analysis one does not always have the
genotypes for the control population.  In such cases it may be
necessary to fall back on frequency based tests using well known sources
for the frequencies in the control population, for instance, from the
1000 Genomes Project.  The Allele Frequency Comparison ('AssocAFC') package
performs multiple rare variant association analyses in both population and
family-based GWAS (Genome-Wide Association Study) designs. It includes
three score tests that are based on the difference of the sum of allele
frequencies between cases and controls.  Two of these tests, Wcorrected()
and Wqls(), are collapsing-based tests and suffer from having protective
and risk variants. The third test, afcSKAT(), is a score test that
overcomes the mix of SNP (Single-Nucleotide Polymorphism) effect
directions. For more details see
Saad M and Wijsman EM (2017) <doi:10.1093/bib/bbx107>.
License: GPL (>= 3)
URL: https://www.r-project.org, https://doi.org/10.1093/bib/bbx107
Imports: CompQuadForm
LinkingTo:
Depends: R (>= 3.4.1)
Encoding: UTF-8
LazyData: true
KeepSource: TRUE
NeedsCompilation: no
Packaged: 2017-11-26 12:46:21 UTC; kunji
Date/Publication: 2017-11-28 18:30:16 UTC