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Fabio Mathias Correa authored and gaborcsardi committed Nov 14, 2012
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15 changes: 15 additions & 0 deletions ChangeLog
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2013-03-21 Fabio Mathias Corrêa <fmcorrea@uesc.br>
* Change in plot.random.effects()
* Change in fixed.effects()
* Removed .FirstLib()

2012-10-31 Fabio Mathias Correa <fmcorrea@uesc.br>

* Change in the argument 'Write'
Removing the file output.txt. The chain is saved in an matrix
* Inclusion of function MCMCsample()
* Change in random.effects()
* The plot.random.effects() has two options for credibility interval

2012-10-01 Fabio Mathias Correa <fmcorrea@uesc.br>

* Changes in initial parameters for the MCMC process
* Change in the summary function Bayes.factor


19 changes: 10 additions & 9 deletions DESCRIPTION
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Package: Bayesthresh
Version: 0.2
Date: 2012-10-01
Version: 2.0.1
Date: 2012-11-14
Title: Bayesian thresholds mixed-effects models for categorical data
Author: Fabio Mathias Correa <fmcron@gmail.com> and Julio Silvio de
Souza Bueno Filho <juliobuenof@gmail.com>
Maintainer: Fabio Mathias Correa <fmcron@gmail.com>
Author: Fabio Mathias Correa <fmcorrea@uesc.br> and Julio Silvio de
Sousa Bueno Filho <juliobuenof@gmail.com>
Maintainer: Fabio Mathias Correa <fmcorrea@uesc.br>
Description: This package fits a linear mixed model for ordinal
categorical responses using Bayesian inference via Monte Carlo
Markov Chains. Default is Nandran & Chen algorithm using
Gaussian link function and saving just the summaries of the
chains. Among the options, package allow for two other options
of algorithms, for using Student's "t" link function and for
saving the full chains.
Depends: R(>= 2.10.1), lme4 (>= 0.999375-35), MASS, VGAM, mvtnorm,
matrixcalc
Depends: R(>= 2.15.2), lme4 (>= 0.999375-35), MASS, VGAM, mvtnorm,
matrixcalc, coda
License: GPL (>= 2)
Repository: CRAN
Date/Publication: 2012-10-01 18:58:13
Packaged: 2012-10-01 17:21:53 UTC; fmc
Date/Publication: 2013-03-26 12:05:55
Packaged: 2013-03-26 08:42:17 UTC; raquel
NeedsCompilation: yes
30 changes: 16 additions & 14 deletions MD5
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344da2fdd6d9bbbe824e4dfe83fadf00 *ChangeLog
887f45889eda6062beec80f929899592 *DESCRIPTION
637174c4b580e5e2f976596269734abc *NAMESPACE
2817c1cc5139762a79abda514b710eb2 *ChangeLog
24ecc76d6913608a5d18baa7afd4adf7 *DESCRIPTION
2d78043e19e4f94d4e53a4cfacd94286 *NAMESPACE
61e49276d3548f6b4199d30cb27630d4 *R/Bayes.factor.R
a1a2b02ccadaff165b99099ca6b0752a *R/Bayesthresh.R
97d72f8e990f3a229d4ddd7408ccb010 *R/coef.Bayesthresh.R
1b315976adc2f71b67d734d82be7dcac *R/Bayesthresh.R
6a7533985a4cee35485fc99474f4b1e1 *R/MCMCsample.R
d2edbf2aabc0a5476261272b019033ce *R/coef.Bayesthresh.R
2433b9d274c1b12429f632c0eee7fa31 *R/compVar.R
f52b3e962fcf1c240d68304c2b98d08c *R/plot.random.effects.R
91935a4a020ccf82ac7f1549cb4eb84f *R/random.effects.R
b51185e0fa4825009b06e9dee61b9358 *R/zzz.R
0e6544310e0858d7254b7ed8d996efe6 *R/plot.random.effects.R
b4c379b4614441f45492a537f3c4a9b4 *R/predict.Bayesthresh.R
011cccb4e6cf36f74e5ce2cb363adb9b *R/random.effects.R
bd4a5ef6aad4293f4ff514233e794b7e *data/sensory.rda
3b4c692402cf955ad72ec62c0a1beb17 *inst/CITATION
e70e12248326be45d9fca624fdb83a3e *inst/CITATION
ca591a030c5407c420cdcba3a31c06f2 *man/ACGaussian.Rd
e02f57831b3a1c651460698503742667 *man/ACt.Rd
bd6b443a851de7cb18ec62be750a9a68 *man/Bayes.factor.Rd
6851787816acc28d1629c2dc2d42da67 *man/Bayesthresh.Rd
8b053cb7a07ec96a3917a447653c5571 *man/Bayesthresh.Rd
5f1450d8675c66f5a4d7f56569408e4a *man/MCGaussian.Rd
040f8e5c17be61b6ae4fe7141417a4cc *man/MCMCsample.Rd
3f0ab3eb6a77313f0e041b975e9819ef *man/MCt.Rd
f1ccbd0f52aa5675a6c605d736f9ab21 *man/NCGaussian.Rd
8ac8feda967146bacd0a1d19d47d6da8 *man/NCt.Rd
a699cec2bb477682a005e38e436e0442 *man/coef.Bayesthresh.Rd
a2ec37d6e8bb71324a4fcfca3409502e *man/compVar.Rd
28a10a7d8adbd79a4897a3718bec9de5 *man/plot.random.effects.Rd
68e72c4f68ae5e8e0b37b2265a947a56 *man/coef.Bayesthresh.Rd
77c6457917355d61b0f7f566e0c547fc *man/compVar.Rd
b96d8491ec116cb3cc274285dd94baf8 *man/plot.random.effects.Rd
c9c19c8d023af5461476ee3fd6352836 *man/predict.Bayesthresh.Rd
d5d66b115b1b19eb1d2abd95f8ba46e7 *man/random.effects.Rd
d81e927fcc88ae937ab6e3b44375ea91 *man/random.effects.Rd
937ef63c15dbe35bdbeb96d83aa639f4 *man/sensory.Rd
e441f70f7997b49ceba84c8d4bfbeeea *man/summary.Bayesthresh.Rd
f76f32b3af49874a82e9ef6d4bf995ef *src/acum.c
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3 changes: 2 additions & 1 deletion NAMESPACE
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Expand Up @@ -13,7 +13,8 @@ export("Bayesthresh",
"NCt",
"predict.Bayesthresh",
"plot.random.effects",
"compVar")
"compVar",
"MCMCsample")


S3method(predict, Bayesthresh)
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