version 1.1.0

DESCRIPTION

@@ -1,21 +1,23 @@
 Package: pogit
 Type: Package
 Title: Bayesian Variable Selection for a Poisson-Logistic Model
-Version: 1.0.1
-Date: 2015-07-14
+Version: 1.1.0
+Date: 2016-04-06
 Authors@R: c(person("Michaela", "Dvorzak", role = c("aut","cre"), 
   email = "m.dvorzak@gmx.at"),
   person("Helga", "Wagner", role = "aut"))
 Author: Michaela Dvorzak [aut, cre], Helga Wagner [aut]
 Maintainer: Michaela Dvorzak <m.dvorzak@gmx.at>
-Description: Bayesian variable selection for regression models of under-reported 
-  count data as well as for Poisson and binomial logit regression models using 
-  spike and slab priors. 
+Description: Bayesian variable selection for regression models of under-reported
+    count data as well as for (overdispersed) Poisson, negative binomal and
+    binomial logit regression models using spike and slab priors.
 License: GPL-2
 Depends: R(>= 2.10.0)
 Imports: BayesLogit, ggplot2, logistf, plyr, stats, utils, grDevices
 LazyData: true
+Suggests: COUNT
+RoxygenNote: 5.0.1
 NeedsCompilation: no
-Packaged: 2015-07-14 18:50:18 UTC; michi
+Packaged: 2016-04-06 16:34:40 UTC; michi
 Repository: CRAN
-Date/Publication: 2015-07-15 01:53:18
+Date/Publication: 2016-04-07 00:49:18

MD5

@@ -1,46 +1,50 @@
-1ba2cc2375633e1eb99f1e3aef334014 *DESCRIPTION
-cae831ce08cb6dbb7d687cbfec6eda0b *NAMESPACE
-4bde6377458a457be849c4da42eaa4b4 *R/cervical.R
-e8e597d03c944d2a522bd9fba0be0b6c *R/cervical_validation.R
+1b87cf3f020eb9c165b1075ecb88717c *DESCRIPTION
+576761f5829cda595fd9e37357922706 *NAMESPACE
+be83410276d98034c98dccfc2c89b858 *R/cervical.R
+a6d3b97555046840b300eb69d67374a1 *R/cervical_validation.R
 762a95674db555babf1be621f87e6f3d *R/compmix.R
 1f396d2e7c1acfb28969aa84f1e80ac8 *R/dataug_logit_drum.R
 6169ffb1f9c901fe99db7409a86c7ce3 *R/dataug_pois_iams.R
-c6e367dd99c366918f46d90364617833 *R/logitBvs.R
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 53dd15e1b35864bc66838bbaa6cad6e6 *R/mixcomp_poisson.R
-a33e5af5a019fb2f8d9a4f21fec36e4a *R/plot.R
-0857e66148e36d0c87179297727f101b *R/pogitBvs.R
-f12fd6d318d57431447749297161de27 *R/poissonBvs.R
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-1b66528feefbf2fdf3cd80a095115fc4 *R/select_logit.R
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-ec55abd715cff0a4f5ac0fd954a93d37 *R/simul_binomial.R
-b79666f92c0890c1987a3f0f10a6f0f4 *R/simul_pois1.R
-f14f9c025ed1909d168255659ffd57d7 *R/simul_pois2.R
-10ac904f35535af2bdff797399c9ff8b *R/summary.R
-1e5a54862ebe27ff2f8a92bb45216875 *R/utils.R
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+7d35738b82122effd2498014e2974e24 *R/plot.R
+b8c97262963e1e9259b1b04080b2719a *R/pogitBvs.R
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 f23da20fab527b8ef665ce394440fa03 *data/cervical.rda
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 2e3f6c0694de651708d6a8d51dc1ba00 *data/simul_pois2.rda
-6636eb70feb7987d70dadb5666238eea *inst/CITATION
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-0647c86681b94ac0792a0527f01c911c *man/cervical.Rd
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-234f295cb10e5e250f2a860278676930 *man/summary.pogit.Rd
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+bcfae0f3bdb3914aaac731c0f85076fe *man/summary.pogit.Rd

NAMESPACE

@@ -1,10 +1,11 @@
-# Generated by roxygen2 (4.1.1): do not edit by hand
+# Generated by roxygen2: do not edit by hand
 
 S3method(plot,pogit)
 S3method(print,pogit)
 S3method(print,summary.pogit)
 S3method(summary,pogit)
 export(logitBvs)
+export(negbinBvs)
 export(pogitBvs)
 export(poissonBvs)
 import(ggplot2)

R/cervical.R

@@ -8,16 +8,16 @@
 #' @usage data(cervical)
 #' @format A data frame with 16 rows and 19 variables: 
 #' \describe{
-#'  \item{\code{y}}{Number of cervical cancer deaths for different age categories
+#'  \item{\code{y}}{number of cervical cancer deaths for different age categories
 #'    and European countries between 1969-1973}
-#'  \item{\code{E}}{Number of woman-years at risk (given in thousands)}
-#'  \item{\code{country}}{Factor variable of European countries}
-#'  \item{\code{agegroup}}{Factor variable of age categories}
-#'  \item{\code{X.1}, \code{X.2}, \code{X.3}}{Predictor variables for country effects
+#'  \item{\code{E}}{number of woman-years at risk (given in thousands)}
+#'  \item{\code{country}}{factor variable of European countries}
+#'  \item{\code{agegroup}}{factor variable of age categories}
+#'  \item{\code{X.1}, \code{X.2}, \code{X.3}}{predictor variables for country effects
 #'    using dummy coding (i.e. England, France, Italy)}
-#'  \item{\code{X.4}, \code{X.5}, \code{X.6}}{Predictor variables for age effects
+#'  \item{\code{X.4}, \code{X.5}, \code{X.6}}{predictor variables for age effects
 #'    using dummy coding (i.e. 35-44, 45-54, 55-64, in years)}
-#'  \item{\code{X.7}, \code{X.8}, \code{X.9}, \code{X.10}, \code{X.11}, \code{X.12}, \code{X.13}, \code{X.14}, \code{X.15}}{Predictor
+#'  \item{\code{X.7}, \code{X.8}, \code{X.9}, \code{X.10}, \code{X.11}, \code{X.12}, \code{X.13}, \code{X.14}, \code{X.15}}{predictor
 #'    variables for interaction effects of age and country}
 #' }
 #' 
@@ -29,6 +29,7 @@
 #'  \emph{Applied Statistics}, \strong{40}, 81-93. 
 #' @seealso \code{\link{cervical_validation}}, \code{\link{pogitBvs}}
 #' @name cervical
+#' @keywords datasets
 NULL
 
 

R/cervical_validation.R

@@ -13,11 +13,11 @@
 #' @usage data(cervical_validation)
 #' @format A data frame with 4 rows and 6 variables: 
 #' \describe{ 
-#'  \item{\code{v}}{Number of correct death certificates in each country 
+#'  \item{\code{v}}{number of correct death certificates in each country 
 #'    in the validation sample } 
-#'  \item{\code{m}}{Size of validation sample in each country} 
-#'  \item{\code{country}}{Factor variable of European countries} 
-#'  \item{\code{W.1}, \code{W.2}, \code{W.3}}{ Predictor variables for country effects 
+#'  \item{\code{m}}{size of validation sample in each country} 
+#'  \item{\code{country}}{factor variable of European countries} 
+#'  \item{\code{W.1}, \code{W.2}, \code{W.3}}{predictor variables for country effects 
 #'    using dummy coding (i.e. England, France, Italy)} 
 #'  }
 #'   
@@ -31,5 +31,6 @@
 #'   \emph{Applied Statistics}, \strong{40}, 81-93.
 #' @seealso \code{\link{cervical}}, \code{\link{pogitBvs}}
 #' @name cervical_validation
+#' @keywords datasets
 NULL