95d799f92dc813d00c2f124ae4f74c18 *DESCRIPTION
2f88f73f6966e00e55c215bb0a8e2591 *NAMESPACE
846db00c2b12c4575a0b7646c7ddf5fa *R/cvts.R
5e3d6b3c6c6a7605b24bc0bc9c98bb78 *R/forecast.hybridModel.R
94b3445c53409252838831df014af6f0 *R/generics.R
226240b6d6d2ca16b55292ef910bbb28 *R/helper.R
c97a7f8e078524ef0e3f9816bb13522a *R/hybridModel.R
1ec29af01a46686d8869f170cf1c3f13 *R/theta.R
613844bb8d5f18184b85f2212e4e0580 *build/vignette.rds
81f9e4dd5b607059fbae059cd1ee4429 *inst/NEWS.md
419b9225337a05b10709a160dab00c31 *inst/davidshaub@gmx.com.key
00ffb274e37333df9a612aef27ca47a0 *inst/doc/forecastHybrid.R
5af114b050c80a2ab935d62a5d5c739e *inst/doc/forecastHybrid.Rmd
64486802e56f9a714e975be6dfc7c610 *inst/doc/forecastHybrid.html
c9412e7ce3c28872a26b036d9597d76e *man/accuracy.cvts.Rd
441aea800aeb42791dd1cd766f069e17 *man/accuracy.hybridModel.Rd
e979f316e38320f54777c6491a25d6f2 *man/checkModelArgs.Rd
74133f7559916213ee8a1a6456e4af5d *man/checkParallelArguments.Rd
e8293bb35b2869ff0506bb257c360af5 *man/cvts.Rd
862513710824f1ff774409e797a7e7f2 *man/extractForecasts.Rd
42f1202f6f6430b2d25edfb3a42ee716 *man/fitted.hybridModel.Rd
9eb143590bb9c4beda04197740869a32 *man/forecast.hybridModel.Rd
53ffd06ff10c08210e6f2ab29af40d7a *man/forecast.thetam.Rd
95ed67f3a00a6f74d040f7f808b77a4d *man/getModel.Rd
d81c16f6861f9b4e598b3e06208af98f *man/getModelName.Rd
bc8f89bb98df290a47d2b0fb2785627d *man/hybridModel.Rd
8776c61f678740eb3385f7da556127c2 *man/is.hybridModel.Rd
d9e6d15d1f44c219498bf5f38db8c21e *man/plot.hybridModel.Rd
46344e372d0ff6b4596862208ec5bf8d *man/plot.thetam.Rd
f0b068b2a0f171732f3d064e3dba963c *man/prepareTimeseries.Rd
7de8792217a67c769c9d99dd7aec59ab *man/print.hybridModel.Rd
4c4d1449385e09b7193fb1f34d6d8e84 *man/removeModels.Rd
d1df41a10671e7b44e21be0f7287fe4f *man/residuals.hybridModel.Rd
b8c6ecc41feeec9f910fbbc264824cc3 *man/summary.hybridModel.Rd
7797b86e17545472f98eb31f84c98409 *man/thetam.Rd
8050d88570c0cd1f4947ba63fd7ce3c6 *man/tsCombine.Rd
24feea8e549b60fb4566bd58857aa557 *man/tsPartition.Rd
b3d08dedcc74d8f857ccf786b731430e *man/tsSubsetWithIndices.Rd
7d724de49ff3e0251f451d920a48332b *man/unwrapParallelModels.Rd
072991b51870e024957be4e8a6ade6d3 *tests/testthat.R
2f91b2ff8829918483521f3a7b938605 *tests/testthat/test-accuracy.r
a1abfe8ab70fb6f0c0c57b8c64e59031 *tests/testthat/test-cvts.R
4fdb2fc929d34a58f63e69516f637526 *tests/testthat/test-forecast.hybridModel.R
db9d2e6674f870e12e87ef5cf9ae71e5 *tests/testthat/test-generics.R
7dee55a9279cfcb04037e031f5c39999 *tests/testthat/test-helpers.R
05aedd60960931fae3d98ed872cdfa1b *tests/testthat/test-hybridModel.R
1c72e04ade856df3ebfcbef310bc010e *tests/testthat/test-levels.R
0babfd7d678845c1681bf6e203c49b1d *tests/testthat/test-theta.R
5af114b050c80a2ab935d62a5d5c739e *vignettes/forecastHybrid.Rmd
