b19fe1656d11e40495a7ce084f1b8ff0 *DESCRIPTION
c5f75c1240ee8add3abdaaec24ca651b *NAMESPACE
0e7239266916de4e27938327faceb92c *NEWS.md
b7c031c7011044d99f61c5f2f4dad358 *R/AIC.R
14cfa22aac030c75d4cd3e8210c41783 *R/coef.R
da0060b927a5c0c4377e39b194dd9ef6 *R/extract_arma.R
9f160126abd8a4ab95666c00f8956485 *R/fitted.R
609cb191db1b975e8a741115812af51e *R/forecast.R
213f06d1b1f9c9e381dd9f4d528171ab *R/garma-package.R
90db2a91e72e077ef85e726abf6bff9a *R/garma_ggtsdisplay.R
94f6c39196bc7e771e59daf689604020 *R/garma_main.R
f7c297f62beb55300289a7b7d57f0ff1 *R/gg_raw_pgram.R
ec92abbe2161233376c53971dda26717 *R/ggbr_semipara.R
06f6ef9779e5d14bcd6b4f331b91fa5c *R/gof.R
f86711d9f557c752dc0610ffb9d410d2 *R/internal_css_ggbr_obj.R
8c010093bf7ece556c69cf728480d159 *R/internal_fitted_values.R
3e2269937a9905d73910f899f3f1e607 *R/internal_functions.R
8b7159b8d1903484058da6000c526ac7 *R/internal_generic_optim.R
dad54bb7198ce69f999de6babd8f461c *R/internal_whittle_obj.R
6f8430cdd0793aa60ca725871c9caacf *R/internal_wll_ggbr_obj.R
33699f1f7265feb299d0c387e6c31ffc *R/logLik.R
8742f3df9ceff3352261bbeb5a2084a6 *R/plot.R
6c49da2b8133d4b1847b7c26532bc832 *R/predict.R
1897a580ac5f9254f6f679ef1cef5426 *R/print.R
6ed1ca949a9f3b329d55e54741d55a01 *R/residuals.R
14e8e0a079b0208c06e4b88ddd022f5b *R/tsdiag.R
7b64e1ce907c2d32b55b2797520f6874 *R/vcov.R
19b698153edbdc1cfb90b54661e54232 *README.md
83399d63d1f2a7f8ae642dc8b56ea4b5 *build/vignette.rds
4f8bd692bd5c348aa2512639e959b362 *inst/doc/introduction.R
b1c55dadfbba7047d9b6f4dc401a1532 *inst/doc/introduction.Rmd
1711c86ac7fa4ab2754d723a27d32875 *inst/doc/introduction.html
8c6d348dcb5bcc9bde6d4c80bc85e6a2 *inst/garma.pdf
ca64917f7e6cb6450102749adc12b56b *inst/introduction.pdf
31e860e5c139ab1fcc0500c0c53c7012 *man/AIC.garma_model.Rd
c0b5a4d8e1fb68f06d32fcf5dc433d4c *man/autoplot.garma_model.Rd
eeee3ea7ebd18e325da68ff5e5a0905e *man/coef.garma_model.Rd
639349569f4d754525481edda65b8654 *man/extract_arma.Rd
f8454d8a8c90853e5de3a71e919e82a5 *man/fitted.garma_forecast.Rd
35c73a6e8d3979859bd6ae3014dd0f31 *man/fitted.garma_model.Rd
fca93c42fc2c6b764be379df7106420a *man/forecast.garma_model.Rd
0cea402fe4e634d92b68ab248eac8c86 *man/garma.Rd
22f641def324c4059e891e78fc36676d *man/garma_ggtsdisplay.Rd
2e331338b68c7ce5134dd4f55d4bc155 *man/gg_raw_pgram.Rd
59e939ec699204def1d1e5fd5c257653 *man/ggbr_semipara.Rd
0cdf5bbc6b311f6ab1c702bee333f26e *man/gof.Rd
aadc356eac2839c2482a572e757efdc5 *man/logLik.garma_model.Rd
cd1b51928415e1fcffde3ab6637a2611 *man/plot.garma_model.Rd
90f8263484f6b92b2865ca8aedee372c *man/predict.garma_model.Rd
3cba6686bd98d953e29fa2425f36148a *man/print.garma_model.Rd
d4078bb18435c974aa23a82e08bbb855 *man/print.ggbr_factors.Rd
1de3035dc54215d9f5570619c66738b1 *man/residuals.garma_forecast.Rd
2741429bf97dde904042847bf15107cd *man/residuals.garma_model.Rd
b7badad86df3ce0adbf80ad53200b92c *man/summary.garma_model.Rd
0a593ad669f44be06033ed46c9cb19a1 *man/tsdiag.garma_model.Rd
6b6ad9b122be29026ff09a8cbeffa4a0 *man/vcov.garma_model.Rd
b76c597ae7f05e8a5f93fc264ea4fce2 *tests/testthat.R
2f2b190ad12173c42ee7bf9419ea8d28 *tests/testthat/_problems/test-garma2-9.R
c5c537d7ae0666f98cac9cd5ab3e2a8f *tests/testthat/_snaps/garma.md
a74759f2b17a384c3ed318185fbe7890 *tests/testthat/_snaps/garma2.md
0e2a0efec80aed3c45029002a6118097 *tests/testthat/test-forecast_accuracy.R
b6e817c6a9ec6dcdde09c4e05b93a7a5 *tests/testthat/test-garma.R
a868e341e5aa64f4792d59c78cb76b8c *tests/testthat/test-garma2.R
8fecec718e0ac9d834247b9af8da3258 *tests/testthat/test-predict.R
ab8b309117bbfa8c6a581dcb45b88f8b *tests/testthat/test_garma.R
e02d4ef9b45f2d0765c4aa883f048c74 *vignettes/fig1.png
542d1a335204bcb02a79744fc254cffa *vignettes/fig2.png
2adff1ff8ff1e54e7441f369e0914b4f *vignettes/fig3.png
91cd58bcb1a28531ed4dfa58cd01cf35 *vignettes/fig4.png
42385e292cd68196e684494cf04f1bf6 *vignettes/garma_bibliography.bib
b1c55dadfbba7047d9b6f4dc401a1532 *vignettes/introduction.Rmd
aa47b63d12ffe6c4741204f9ae316e43 *vignettes/soi.long.data
