f3d75fc686e9363c4e7fa344f53bd591 *ChangeLog
d5209a3b50f3537ea4150582d30b1c1e *DESCRIPTION
9163677c44f0c10867c5d6b7f3130afb *NAMESPACE
122148ddfdf97f7b626988a1e76e074b *R/P__disp.R
7d42b1ff24f9774b0866e9f229085506 *R/Sjll2.R
49406497a7ae6621f1c52bbc11a60e01 *R/alrt.R
5b9f64a0749a2d692916b0824f10b8fa *R/coef.ml_g_fit.R
ce9b739ee178323dafdc2873c7812cc8 *R/coef.msme.R
62fe67f80f4b065d5fde07b6634cb8b9 *R/devianceResiduals.R
83929573eb8818fd0a7e36e593e8bfe7 *R/devianceResiduals2.R
49bdba3debb189b6dbfe0a3d831454e6 *R/fitted.ml_g_fit.R
e93fa81a41fca8910ab8fd9580e95e35 *R/hatvalues.ml_g_fit.R
3215e0f890b12171e84a82bfa7d1b9f4 *R/hatvalues.msme.R
ce005cba04e3e8b153ffa39e56c3a436 *R/irls.R
720f1399593f0d32606fa50fae3041ce *R/irls_glogit.R
47d74d5c936528640a88278680d34c13 *R/irls_logit.R
2e4d3a7fb1c56ee50d06b3373790eb15 *R/jll.gNegBinomial.R
cf585c5cc0cb8840a664b99c02f18dd8 *R/jll.gnormal.R
46cb013f30bd61555fc6a61b90f05c0f *R/jll.normal.R
88daf75c814127adf428ee871b0252bb *R/logLik.ml_g_fit.R
76771b702c505fc6a4e56383acaa47b3 *R/logLik.msme.R
062d0f51e7732e112dd1c36725b69eae *R/ml_g.R
cae88c2c0f72519a7c7d9c1ef0bf10f9 *R/ml_glm.R
4bf659eae50e68e1184365eccb0249ef *R/ml_glm_2.R
bc18649725cc7b81d93516c2f4206f7a *R/ml_glm_3.R
cb9fa0c26aec80b956c77a7cd1a79c76 *R/ml_nb1.R
f8f615db4d528d79d74e6bef143a653c *R/ml_nb2.R
c4bfb5e0ba17560111162598f830002d *R/ml_nbc.R
35764e00823240f9a1c0189198ed26f6 *R/pearson2.R
9bb01d82a42c2915a50d5db4eb09dd12 *R/plot.ml_g_fit.R
e747b59d47651fae63194a3897442fc9 *R/predict.expFamily.R
be1b9dddbd6a79edbdf85b264ba11db7 *R/predict_s.R
06b8a9d1d6ea14a6ce93c4def48ebd62 *R/residuals.ml_g_fit.R
91ce108f12622831c7a55777f5c63a79 *R/residuals.msme.R
fc3863955bfed6232a451828f5040118 *R/se_coef.R
38bf47fc6fff0c728f5cb50e72e99fcd *R/summary.ml_g_fit.R
ecd7c6121a4fe3146a549ee55162f5dc *R/summary.msme.R
89ea37082a05d94676a459778262c3ca *R/watson.R
c067dd293ae98207d0dddfcb89a4c77a *data/doll.rda
010df819556904d410d8b9955b747b5d *data/heart.rda
6885b4073a6b6c3f7953d0837f08f435 *data/medpar.rda
934412d45dc12e2f00bfa76d0661dc52 *data/rwm5yr.rda
14bbb5356e41a0a6da9332e4c9142b6c *data/titanic.rda
62a38a74de700731b5bc40332303c95f *data/ufc.rda
47f7295493c43c080dc0db47cedf870d *inst/1-programming.R
50f034ad9021d704631877b3e17bff55 *inst/2-estimation.R
13d75691472cfa7d24410f9499f8374d *inst/3-regression.R
3ba1f58bf20a0dc0543afea8a08ef53f *inst/4-logistic.R
95be125f6ecfe63e221713411b5744fd *inst/5-advanced-glm.R
2e446db0fcd25395bbb28e70b10708bd *inst/6-panel-data.R
7e31b5d3ad6f929f6a9bb56d7ef9f793 *inst/7-bayes.R
12fb856f75cad2aed043a62c19d99262 *man/doll.Rd
75248f45b797a3f68d89ec56ad564b48 *man/hatvalues.msme.Rd
7f56a68a1a4a668592f8d53a2df615c8 *man/heart.Rd
53a0844e4639c0e13d0d7144b577553d *man/irls.Rd
7c224035025a6c051fa568f430717ddb *man/medpar.Rd
2c99c1259c21e61a192166fae66eea94 *man/ml_g.Rd
e65f0966fec3fe7f2e32c3c11e7c3527 *man/ml_glm.Rd
823f89754038539740bf17b7b7c58e35 *man/ml_glm2.Rd
61414099356e1f11c4abada0ae76d283 *man/ml_glm3.Rd
15a73ce7da33aaf9004d57128fc57aa1 *man/residuals.msme.Rd
8eb0ea6cb6a5c577b40e5562b5adde1e *man/rwm5yr.Rd
deb9e2dad1fec0e1d5741ddd2b1bd3d8 *man/summary.ml_g_fit.Rd
9333e475d93aa069603eaaf5f0b8a336 *man/summary.msme.Rd
421df3899e84b51328aebec397213de9 *man/titanic.Rd
ae7a96ac9723418139b693e0c3dba7a9 *man/ufc.Rd
5879c9d4f730f43752c73f588e9780d5 *tests/test_irls.R
80b0a867bad5e44b25d26b7e54edaf52 *tests/test_ml_g.R
e29060cb49d32e8ae62bf4cb1043b8ca *tests/test_ml_glm.R
f1069c4f379e9c39ea779f910bb1d8c4 *tests/test_ml_glm2.R
13af3468bfc33ba2f25986790294fbf9 *tests/test_ml_glm3.R
c66534d6a298094e1e4a5b9cb7b4d465 *tests/test_ml_pois.R
