abd95915769bf62e861bea2810e088c2 *DESCRIPTION
deb30aa6b20458502f300b540c08d704 *NAMESPACE
0b72e83d3ab34b09627432b46dc43d24 *R/AllClasses.R
9bfadc86303acaae0b62feb1c5ac667e *R/deriv.lmmspline-method.R
3586b0701e8381fbe740f9085d994a49 *R/filterNoise-method.R
b07a543e466738f664f59fdcb77b4ca9 *R/investNoise-method.R
95ad89fc78728d8d9afc649af2a346c6 *R/lmmSpline-method.R
2ea87b432512923af8473c9e6b597196 *R/lmmsDE-method.R
05f6acc0e648a1ab5491f9a52bf18784 *R/plot.lmmsde-method.R
878fb504a7fd2856f6f2408f1cae62b6 *R/plot.lmmspline-method.R
60269d8cfaca4354e4e50f2b7f8683a4 *R/plot.noise-method.R
b83d29f493816eff7b1d629943656aa9 *R/predict.lmmspline-method.R
ded637aad51bb0aff9705a03b1626b2f *R/summary.lmmsde-methods.R
f312d20f03473122749c544f6a02e520 *R/summary.lmmspline-methods.R
ce65a7cb7997aaaff06b6ea1c6ed7856 *R/summary.noise-methods.R
72d337ad211b9d3fbe629f16408ff5dd *data/datalist
f00e0e6644b6b097365ae2653373f544 *data/kidneySimTimeGroup.RData
b3d3bfdc266c85d96a00bc466e1f96f0 *man/deriv.lmmspline.Rd
85a2cc7c8ae7efbaeb9fbb1049c2a73e *man/filterNoise-methods.Rd
08891ac643aad61b22448b31965e45da *man/investNoise-methods.Rd
a0991bca8315da26ec7e2cc430946622 *man/kidneySimTimeGroup.Rd
cdef2b2f930b22c391a9833cb3e5eddb *man/lmmSpline-methods.Rd
c175e9870b0869d587a34ac9fbd9b9bc *man/lmms-class.Rd
456ba966ad3b51ae5512a6ea081cf348 *man/lmms-package.Rd
f6470f05c946992a1dd12a9e153b82e7 *man/lmmsDE-methods.Rd
904275749f00be9d11902d55799be6a9 *man/lmmsde-class.Rd
fab4b184518fc466256f52e80b820133 *man/lmmspline-class.Rd
ef7892ba011d9d399907d9fb63d7ccfa *man/noise-class.Rd
f6deecf9d04b0012444171b7131a84c8 *man/plot.lmmsde.Rd
a05b6bab11c440f78a5894e7e7194ab6 *man/plot.lmmspline.Rd
a4b4e0b1fb8895ed58087ac09b6d5294 *man/plot.noise.Rd
bc625e9f0955114b4b79ff6b9f4ff28e *man/predict.lmmspline.Rd
e2ebb7c57f7a6ed0dfdeee4460de2b34 *man/summary.lmmsde.Rd
96a5a8f91c794aea6e15565de17405e2 *man/summary.lmmspline.Rd
e3665b7593131cec6be1ac71b5823f98 *man/summary.noise.Rd
