b9df48dd7247172c56e51f5a706db723 *DESCRIPTION
cccbd30f5f12c9bf90abe37ad33bb369 *NAMESPACE
c26bd00dfa3011401fb3981efed1b080 *R/get_collocations.R
f63a3d18ea5707e8941f411d5e2960c3 *R/get_terms.R
33ebdad5d133526be30fa608c8ddf417 *R/get_words.R
bd7ef121647aa6ae6834a4e832baa861 *R/hard_thresholding.R
94da3d2b112a58491645a2b0745f180e *R/news_data.R
edadcb0b682d3f44fee3544a642a4348 *R/optimal_alphas.R
2f8bc6419a72e395ac2800a81c116c2b *R/optimal_factor.R
a40d09231fec9728a6630ef1065f012d *R/optimal_factors.R
ad0e704fa2b241afa2b3aba7b9fe0a1d *R/optimal_x.R
9028c4583a3982ac65f09aec4d4f64d9 *R/stock_data.R
368b2e14836de908141e1d97c9e7a56e *R/text_forecast.R
a7c4f5a6854fd0e659de7a356fac14cb *R/text_nowcast.R
fc26ddfb124a9a273d54140a88080be2 *R/tf_idf.R
c46d6ec523bc13d2accd706b4e26fbd0 *R/top_terms.R
cc9371f4db76f4fcbdf9f17949261e49 *R/tv_dictionary.R
5846935ff43af1df0d0aeb7442466c71 *R/tv_sentiment_index.R
e5387aa01cc1f3c78d323e62f162d1b8 *R/tv_sentiment_index_all_coefs.R
a7c755279954f3ca5998986b378e2d1d *README.md
f1b7489e015d0bf72b30dfcfb312945d *build/vignette.rds
764bd55aa884923de0a5bd23d44369a2 *data/news_data.rda
3096e3b6e4c19ce2d657d0d51d773ddb *data/optimal_factors.rda
3e9b2df2196bf02d4d8e811ad498d4d2 *data/optimal_x.rda
311021c2096c9658186cb5ca69da531b *data/stock_data.rda
31c16e3bf3c8a9018f0786a5092f90dc *inst/doc/textforecast.R
03da55fa62e139a8d5936c9eeda450dc *inst/doc/textforecast.Rmd
fa7d2d73e969c1fcd5f7dc5464716cef *inst/doc/textforecast.html
2d0e8a833a163927cd1f110b707fd800 *inst/doc/textforecastdocumentation.R
f32587d2040ce79b4f371ed535f07830 *inst/news/2019-30-01/news30.pdf
2a87d25d2ef710123b8a893f73a90138 *inst/news/2019-31-01/news31.pdf
adeebeccd32ab470ca8f9955ba1f836c *man/figures/README-pressure-1.png
0d316248d5eb8b6b18003212b57a2f52 *man/get_collocations.Rd
eab21007076bf86f35d24184b94e4b64 *man/get_terms.Rd
24725e53fc1e587fed61c8f29e3ee01c *man/get_words.Rd
68fb16594db1d942fc3c78e44a163f9d *man/hard_thresholding.Rd
27034526aede4773ed36bca895750dc2 *man/news_data.Rd
405541e26996ddef982ff12dee148777 *man/optimal_alphas.Rd
4e6576aca55819478da69aa6672387e0 *man/optimal_factors.Rd
2eeadcd853d0080c03ba15c7413d71b9 *man/optimal_number_factors.Rd
e975cf6192e2b2a8c8bc64c103573317 *man/optimal_x.Rd
aa29c330b252e6393f6863f130e0d8e3 *man/stock_data.Rd
b98e81c9e092502c55d09fd8fe84444e *man/text_forecast.Rd
2154bc2cf892a86d8668ee1332157deb *man/text_nowcast.Rd
31caabe79d2094603a4dc9b34cbf0692 *man/tf_idf.Rd
f6e82f6d60feb341e70e23cb27a861c4 *man/top_terms.Rd
f241e637d01753e0b1fb63c4e14338c7 *man/tv_dictionary.Rd
4adbfd95e12b2c788bd30cd68bd10551 *man/tv_sentiment_index.Rd
307e2c1b18241a3e8d401f0555e3959e *man/tv_sentiment_index_all_coefs.Rd
64694180bd2ca678c64fe441cac34d55 *vignettes/Bibliography.bib
353e7b5f3b63e38760971875e119f163 *vignettes/TextForecast_R_package_documentation.pdf
03da55fa62e139a8d5936c9eeda450dc *vignettes/textforecast.Rmd
