903136d48f178bdde290b6d54d35d26d *DESCRIPTION
1086b4e7b6c0496cb1232a83d7312884 *INDEX
236a1001a41f82cec514b9db9ea800e3 *NAMESPACE
42c2b31581b27a1f06eebaf1fb390cf8 *R/AllClasses.R
857459e82eba614f5e821b242c03bb60 *R/deriv.lmmspline-method.R
30c9f886c065781e09379e87c5a7050c *R/filterNoise-method.R
3a84eb6338a16cfd51fd24e7eb97a7a9 *R/investNoise-method.R
fe1f95c53edc26dcd2118ae0c9973aaa *R/lmmSpline-method.R
49d2aacac6e40d57617f40b7a6f21497 *R/lmmsDE-method.R
b982169bc71d2e1cfecdb5494be9b172 *R/plot.lmmsde-method.R
8957788a702b27b65ee8e6a83a1a8ca1 *R/plot.lmmspline-method.R
60269d8cfaca4354e4e50f2b7f8683a4 *R/plot.noise-method.R
7395c2970f4dcafbba614663d7ea007d *R/predict.lmmspline-method.R
9f505aea530506465aed2e78ea277ab9 *R/summary.lmmsde-methods.R
f312d20f03473122749c544f6a02e520 *R/summary.lmmspline-methods.R
ce65a7cb7997aaaff06b6ea1c6ed7856 *R/summary.noise-methods.R
72d337ad211b9d3fbe629f16408ff5dd *data/datalist
e577927464f882a53e21a86e7e568347 *data/kidneySimTimeGroup.RData
37456e77748100f655019b3b33300640 *man/deriv.lmmspline.Rd
b69e14c7818631fa275c06c5b3e0f034 *man/filterNoise-methods.Rd
469589d9117ea14a94a4a310a64bff4e *man/investNoise-methods.Rd
a0991bca8315da26ec7e2cc430946622 *man/kidneySimTimeGroup.Rd
46fdab03dcc2d4a41f305dbcb6645d0d *man/lmmSpline-methods.Rd
02151639abb877bad5a1a262fbb825e6 *man/lmms-class.Rd
33a228c1a7fb1801ceff4f8ce39cae1c *man/lmms-package.Rd
cb04164d39d330c0d436dda44514db70 *man/lmmsDE-methods.Rd
37c514e41707e5762aae963b80ffab70 *man/lmmsde-class.Rd
84e6d7bf544d6adec2331fd0104450bf *man/lmmspline-class.Rd
1bebe8f4104e425d2c5d7ac69b39834e *man/noise-class.Rd
4b534a48de60d4fc8a3be8b7f663f4c6 *man/plot.lmmsde.Rd
608e73ddf2b3643826aea02300c892f3 *man/plot.lmmspline.Rd
86701131ebd5f6b0261de23c7966d951 *man/plot.noise.Rd
61eeb5a75fc4425ba94ad1c884299810 *man/predict.lmmspline.Rd
278e723a4d17a1d45757cdd24f7fa4ae *man/summary.lmmsde.Rd
08872dcf86fdf0f40db0e6b8431b1219 *man/summary.lmmspline.Rd
52dc1ae7878a0845d5451b29b5c3ff24 *man/summary.noise.Rd
