769a19fc67fb6541b809210b194feeb4 *DESCRIPTION
9e6a7ea36cb4cdf1ec7cb8b8fc1e9e90 *NAMESPACE
1d04525884aa26b2a4133c71d48870c1 *R/AllClasses.R
857459e82eba614f5e821b242c03bb60 *R/deriv.lmmspline-method.R
827c9b55018ad1f3966f67fc8a4ba919 *R/filterNoise-method.R
3a84eb6338a16cfd51fd24e7eb97a7a9 *R/investNoise-method.R
fe1f95c53edc26dcd2118ae0c9973aaa *R/lmmSpline-method.R
5f8c3866264f54bd19654133bfefb0fd *R/lmmsDE-method.R
537bcf276fc4e62d784dc7f8d820b99a *R/plot.lmmsde-method.R
8957788a702b27b65ee8e6a83a1a8ca1 *R/plot.lmmspline-method.R
611818266975c1f453c317459f271188 *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
1adbfea8210ebe22194269ce2b9117e0 *data/kidneySimTimeGroup.RData
48a026d2294fa4e5de10be518189f6ab *man/deriv.lmmspline.Rd
6199c748a1104468c206e66468eb12d2 *man/filterNoise-methods.Rd
b980599315d63d4073e8f47938657177 *man/investNoise-methods.Rd
a0991bca8315da26ec7e2cc430946622 *man/kidneySimTimeGroup.Rd
d8a8e4a4e0b6b50e4b4a725aa29375e9 *man/lmmSpline-methods.Rd
a66b0f6ae935522881432b88693c5fa7 *man/lmms-class.Rd
33a228c1a7fb1801ceff4f8ce39cae1c *man/lmms-package.Rd
24604aeb5fc095d5281c139cf7f28cd7 *man/lmmsDE-methods.Rd
c374a19dfe1ed4f2f52445b436c4d895 *man/lmmsde-class.Rd
0fea990320ed98e7fb37312a02b8a156 *man/lmmspline-class.Rd
6df2c9375c5355b58c19764dd99dea06 *man/noise-class.Rd
98f379c6fdb24b5eed8545cd8b777693 *man/plot.lmmsde.Rd
38f330e4e74156be40610e6a835dbbc4 *man/plot.lmmspline.Rd
15521525f708637bbc5bfdc34cb0db74 *man/plot.noise.Rd
7565c1b0e6869e08a27bf9d11627ad2c *man/predict.lmmspline.Rd
cd7fae5d84e561ab89231623b0dc04b0 *man/summary.lmmsde.Rd
ad2fb877d92fcca995b20f239c40fe64 *man/summary.lmmspline.Rd
dfbed1b9ff5948634318748c353d2969 *man/summary.noise.Rd
