lnar: Inference for stochastic kinetic genetic networks.

Likelihood based inference of stochastic kinetic models using a Linear Noise Approximation.

AuthorVasileios Giagos
Date of publication2015-09-17 01:32:08
MaintainerVasileios Giagos <vgiagos@une.edu.au>
LicenseGPL (>=2.0)
Version0.0.6

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Files

DESCRIPTION
NAMESPACE
R
R/calcdens.R R/compmod.R R/lnalik.R R/optmod.R R/parsemod.R R/zzz.R
data
data/ardata.rda
demo
demo/00Index
demo/autoreg.R demo/lv.R
inst
inst/extra
inst/extra/parse.mpi
inst/extra/test.ys
man
man/ardata.Rd man/calcdens.Rd man/compmod.Rd man/lnalik.Rd man/lnar-package.Rd man/optmod.Rd man/parsemod.Rd
src
src/Makevars
src/bnorm.f
src/cfode.f
src/d1mach.f
src/dgbfa.f
src/dgbsl.f
src/dgefa.f
src/dgesl.f
src/ewset.f
src/fnorm.f
src/hessian.c
src/hessian.h
src/intdy.f
src/integrate.c
src/integrate.h
src/lik.c
src/lik.h
src/lsoda.f
src/mnormal.c
src/mnormal.h
src/model.c
src/model.h
src/optim.c
src/optim.h
src/prja.f
src/rand.c
src/rand.h
src/solsy.f
src/stoda.f
src/vmnorm.f
src/xerrwx.f

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