2d04289a5545988d3cea58e20e7b26c3 *DESCRIPTION
ab3c1122e649f58fca48c9831aebba75 *NAMESPACE
0b72e83d3ab34b09627432b46dc43d24 *R/AllClasses.R
93a0eb78a82a7646db2d79b3c82f19ea *R/deriv.lmmspline-method.R
d866ad3d276016ee3380d6e28b0b5c81 *R/filterNoise-method.R
925acdcfa3289d5b5151040940208456 *R/investNoise-method.R
92db8a74be295ed79c088a13d49f3073 *R/lmmSpline-method.R
f902cdbc233889ccdfc76ff86bfce393 *R/lmmsDE-method.R
397069bb5c47bae7f976515e779cd708 *R/plot.lmmsde-method.R
cd4233c061246f9c6eb27cc036365fe3 *R/plot.lmmspline-method.R
7dec81df9f6944b9c10994236dd5fa8e *R/plot.noise-method.R
777e475c3ddd4b58429e663a9ad11f38 *R/predict.lmmspline-method.R
c17d28733250bb3ed633e0706ff15114 *R/summary.lmmsde-methods.R
f312d20f03473122749c544f6a02e520 *R/summary.lmmspline-methods.R
ce65a7cb7997aaaff06b6ea1c6ed7856 *R/summary.noise-methods.R
72d337ad211b9d3fbe629f16408ff5dd *data/datalist
e5a8f56f25a0af9be3abb0088bd97363 *data/kidneySimTimeGroup.RData
dca3280d5edb1454d21af3e26756e032 *man/deriv.lmmspline.Rd
b9a1b426656167fad060449d76a85e84 *man/filterNoise-methods.Rd
717ad68f28172dfcc6ce6d9d52343886 *man/investNoise-methods.Rd
a0991bca8315da26ec7e2cc430946622 *man/kidneySimTimeGroup.Rd
ee81b9b74ba0dc0cc4a7100b52a690bc *man/lmmSpline-methods.Rd
aac156fcff48b1f52466158c6ad21e76 *man/lmms-class.Rd
de143618144d70ea05876e1404720d44 *man/lmms-package.Rd
ff2899c5325dc4ecaf46cdc293ac656a *man/lmmsDE-methods.Rd
9ea09a5890b9b50fab500270d45cad6e *man/lmmsde-class.Rd
7912e71d7f59d5214b5d58a1e0dfcd66 *man/lmmspline-class.Rd
5fd151a1d587e288b3d88ffca3ef94dd *man/noise-class.Rd
e0b7ff78840ae32b503305947fcf1f1a *man/plot.lmmsde.Rd
74b4f510295dea57c63ce7cc0d3fc125 *man/plot.lmmspline.Rd
2226594c21fe098d070d317c80f50e51 *man/plot.noise.Rd
7dbbe08705334d874d0148299f717cf0 *man/predict.lmmspline.Rd
3380ede877a61d0e2d7dad5885c93950 *man/summary.lmmsde.Rd
19fd454742af2694489247bcacc4b4a0 *man/summary.lmmspline.Rd
e233597ae817570d2a0e32ef499fd101 *man/summary.noise.Rd
