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update R version and shorten examples further
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.Rproj.user/32B244C4/persistent-state

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CRAN-SUBMISSION

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Version: 0.1.1
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Date: 2023-01-31 05:51:25 UTC
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SHA: 6ef99ad45828a676a8a25d2ed8fea8c64cf6cff4
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Date: 2023-01-31 18:27:27 UTC
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SHA: 398846ac1f6fdb7d3b0dc1d3054cca19cf13c61f

inst/examples/DLMCTest_examples.R

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lmc_gnp84 <- DLMCTest(y84, p = 4, control = lmc_control)
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lmc_gnp84
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# perform test on extended data used in CHP 2014
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lmc_gnp10 <- DLMCTest(y10, p = 4, control = lmc_control)
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lmc_gnp10

inst/examples/DLMMCTest_examples.R

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mmc_gnp84 <- DLMMCTest(y84, p = 4, control = mmc_control)
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mmc_gnp84
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# perform test on extended data used in Carrasco, Hu & Ploberger 2014 & Dufour & Luger 2017
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mmc_gnp10 <- DLMMCTest(y10, p = 4, control = mmc_control)
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mmc_gnp10

inst/examples/HMmdl_examples.R

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use_diff_init = 1)
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# Estimate model
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y_hmm_mdl <- HMmdl(y_hmm_simu$y, k = 2, control)
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y_hmm_mdl
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#y_hmm_mdl <- HMmdl(y_hmm_simu$y, k = 2, control)
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#y_hmm_mdl
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inst/examples/MSVARmdl_examples.R

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use_diff_init = 1)
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# Estimate model
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y_msvar_mdl <- MSVARmdl(y_msvar_simu$y, p = 1, k = 2, control)
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y_msvar_mdl
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#y_msvar_mdl <- MSVARmdl(y_msvar_simu$y, p = 1, k = 2, control)
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#y_msvar_mdl

man/DLMCtest.Rd

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man/DLMMCtest.Rd

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man/MSVARmdl.Rd

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