92f2de70be6d4dd18af093b77c94bf1d *DESCRIPTION
30abf1cea4cfb619c5829cb9dfbcfeb3 *NAMESPACE
42fc8750a1cf6c1ac0a541931d562f0c *NEWS
744c804ec2480e03094263394c2c1e78 *R/HDprintCoefmat.R
9c6315a44da3e1f37a4f5f6c85821423 *R/anova.hdlm.R
a71eedcbd2456592e7254e8b49f6ca0f *R/bayes.hdglm.fit.R
b0d752b71ec418dba73a106e88ffeeb9 *R/bayes.hdlm.fit.R
d7a0037ab1257b2a918c14b8f7038f80 *R/bayesianLatentFit.R
b75e981dcc00999ae1ddd60d96d80894 *R/case.names.hdlm.R
20126fbb17c6afab4dced122232be9e5 *R/deviance.hdlm.R
bd59d28996a8e86d3d6e8145d7099e35 *R/df.residual.hdlm.R
8546ac26e3269b16f854f1e76f3be38c *R/effects.hdlm.R
d3e735d8b5bdbb1a538c25f5b22b9cc8 *R/family.hdlm.R
9e1f8dc6d3ddfd74cbedb823be3637f7 *R/formula.hdlm.R
381f09e4706127a329b43f599b83c36c *R/hdglm.R
6d0d5c9bdd00fffd038b0c2fd0da99f3 *R/hdlm.R
3070b970730de31927390e5affe2ac9f *R/hdlm.fit.R
c243e09660c8110c5d21259693dbfcbd *R/labels.hdlm.R
949515c4a51cdea53b7b4c87c96b16b8 *R/mod.cv.glmnet.R
89c04ca7f38a55c8540db8210c6d1c11 *R/model.frame.hdlm.R
276bd39b838892ab48adfbbd1981703d *R/model.matrix.hdlm.R
4b17fc3df150b937492188e60a8a06a3 *R/plot.hdlm.R
36073d3a1ac5f051a0a60e147528bd4a *R/predict.hdglm.R
0640f85bc7577e4d8f56235f9fa1fa95 *R/predict.hdlm.R
3e11871eeb70417a043f3f64da498110 *R/print.hdlm.R
b45a1e70bcc483a4ef0c3890554c8240 *R/print.summary.hdglm.R
87091609edf730f329153cad14032e51 *R/print.summary.hdlm.R
86fc7b792bda1e8405c527c100d7ea9f *R/qr.hdlm.R
52814c2d8db4e84425d93a4c7b5f06c1 *R/residuals.hdlm.R
f772c0ed5766b4b1a82aed444a1d3ace *R/simulate.hdlm.R
46b5b3e15ed4700c93c2c6313400a724 *R/summary.hdglm.R
6358819bf6ec93ccddb8d1cbbc645e11 *R/summary.hdlm.R
7890ba97946338406d35e77743ae9ea3 *R/variable.names.hdlm.R
496e9777d305e2d0463853a21393d09f *README.md
0025d801099a0c051bdd5497a91ba7d8 *build/vignette.rds
6e89dbd078088fe51bb95ce8b85eba56 *data/votingRecord.rda
43f03aeffac8376ebb59b9186b7f013d *data/wordDataset.rda
23340727b2384c642b72ba0238778b5a *inst/doc/article.R
45517637433144f6d12ab9a39266c4bb *inst/doc/article.Rnw
fbea6b57cf45e519f0a53e466de2c44f *inst/doc/article.pdf
13d04776a71a994e6bfd90a36a2150f4 *man/hdglm.Rd
5680bcfe98bf89f3e628a881543bc0e2 *man/hdlm.Rd
daef2e21a7277b878ddc05389c5132b7 *man/summary.hdlm.Rd
8a3002ea617779d9bacdc1d87c128701 *src/blasso.cpp
ac7193d5379f67e215dd34e74b9340a6 *src/trunc_norm.cpp
4ab78d1d8c1de54745aa3ff099ca3994 *src/util_blasso.cpp
d60e4ca9e2f8732f007edd8633779936 *src/util_blasso.h
45517637433144f6d12ab9a39266c4bb *vignettes/article.Rnw
25f36aec95f2c4f482a9ed61a6a89022 *vignettes/figures/hdlmPlot.pdf
b2be42929ce6b25f9dead210dff58a13 *vignettes/figures/pvalLot.pdf
fe4a1a32c91e85583fbc79c2e3e518ab *vignettes/thesisbibSort.bib
