version 1.4.1

DESCRIPTION

@@ -1,8 +1,8 @@
 Package: PoisBinOrd
 Type: Package
 Title: Data Generation with Poisson, Binary and Ordinal Components
-Version: 1.4
-Date: 2019-03-03
+Version: 1.4.1
+Date: 2019-05-15
 Author: Gul Inan, Hakan Demirtas, Ran Gao
 Maintainer: Ran Gao <rgao8@uic.edu>
 Description: Generation of multiple count, binary and ordinal variables simultaneously 
@@ -11,6 +11,6 @@ Description: Generation of multiple count, binary and ordinal variables simultan
 License: GPL-2 | GPL-3
 Depends: corpcor, GenOrd, Matrix, mvtnorm
 NeedsCompilation: no
-Packaged: 2019-03-04 01:50:37 UTC; rangao
+Packaged: 2019-05-15 20:55:16 UTC; rangao
 Repository: CRAN
-Date/Publication: 2019-03-05 15:20:11 UTC
+Date/Publication: 2019-05-15 21:10:10 UTC

MD5

@@ -1,4 +1,4 @@
-3ee9b679e98fc0742f6ec42960edd574 *DESCRIPTION
+3b45352a86173ddabca8dcf53a646a26 *DESCRIPTION
 4fc4bdb8405e6e5b236bff9872c2ed17 *NAMESPACE
 d23636eb7839ac1151477f1552e842b6 *R/correlation.bound.check.R
 d9df65e8e48da1798037869b61e5074c *R/correlation.limits.R
@@ -10,11 +10,11 @@ e8492656d2e99d932cc828cfc43d1a94 *R/overall.corr.mat.R
 589b500dc5a3231b94dac31c6f8fe5bd *R/validation.bin.R
 a6fe7fc93390804215e50cd8f5264b93 *R/validation.corr.R
 c5ecd6b191d3d80504f86e41d6667213 *R/validation.ord.R
-ddd92924d3eb84c3a12ee7adb06c6a2c *man/PoisBinOrd-package.Rd
+548884ce500d425c3b2c6879b7f56cb2 *man/PoisBinOrd-package.Rd
 cad22b10408a21842000ad37c9716d83 *man/correlation.bound.check.Rd
 1a4d6af6e114b6d10c5e9d26b0ce2d58 *man/correlation.limits.Rd
 7bbf6ca7e3eb697fc17ec2f072637cb4 *man/gen.PoisBinOrd.Rd
-d3cf468e198e08bc74d0997478801f02 *man/intermediate.corr.BO.Rd
+aa59528b8257533bbafec299d8f1f649 *man/intermediate.corr.BO.Rd
 bc26e5dd962cd83225ac952ee4142c0f *man/intermediate.corr.PBO.Rd
 45dba7a80407e239efab3c2b32f92a8e *man/intermediate.corr.PP.Rd
 e46a7f2c045f50c1f33e6d5c970625f5 *man/overall.corr.mat.Rd

man/PoisBinOrd-package.Rd

@@ -9,11 +9,11 @@
 \tabular{ll}{
 Package: \tab PoisBinOrd\cr
 Type: \tab Package\cr
-Version: \tab 1.4\cr
-Date: \tab 2019-03-03\cr
+Version: \tab 1.4.1\cr
+Date: \tab 2019-05-15\cr
 License: \tab GPL-2 | GPL-3 \cr
 }PoisBinOrd package consists of ten functions. The functions \code{\link{validation.bin}}, \code{\link{validation.ord}}, and
-\code{\link{validation.corr}} validate the specified quantities to avoid users from obvious specification errors. 
+\code{\link{validation.corr}} validate the specified quantities to prevent users from committing obvious specification errors. 
 \code{\link{correlation.limits}} returns the lower and upper bounds of the pairwise correlation of Poisson-Poisson, Poisson-binary, Poisson-ordinal, binary-binary, binary-ordinal, and ordinal-ordinal combinations given their marginal distributions,
 i.e. returns the range of feasible pairwise correlations. The function \code{\link{correlation.bound.check}}
 checks the validity of the values of pairwise correlations. The functions \code{\link{intermediate.corr.PP}}, 
@@ -38,7 +38,7 @@ correlation bounds. The American Statistician, 65(2), 104-109.
 Demirtas, H., Hedeker, D., and Mermelstein, R.J. (2012). Simulation of massive public health data
 by power polynomials. Statistics in Medicine, 31(27), 3337-3346.
 
-Ferrari, P.A. and Barberio, A. (2012). Simulating ordinal data. Multivariate Behavioral Research, 47(4), 566-589.
+Ferrari, P.A. and Barbiero, A. (2012). Simulating ordinal data. Multivariate Behavioral Research, 47(4), 566-589.
 }
 
 \keyword{concurrent generation of Poisson, binary and ordinal variables}

man/intermediate.corr.BO.Rd

@@ -5,7 +5,7 @@
 \title{Computes an intermediate normal correlation matrix for any combination of binary and ordinal variables given the specified correlation matrix}
 
 \description{Computes an intermediate normal correlation matrix for any combination of binary and ordinal variables before dichotomization/ordinalization 
-given the specified correlation matrix as formulated in Ferrari and Barberio (2012).}
+given the specified correlation matrix as formulated in Ferrari and Barbiero (2012).}
 
 \usage{intermediate.corr.BO(n.B, n.O, prop.vec = NULL, prop.list = NULL, corr.vec = NULL, 
 corr.mat = NULL)}
@@ -22,9 +22,9 @@ corr.mat = NULL)}
 \value{A correlation matrix of size (n.B+n.O)*(n.B+n.O).}
 
 \references{
-Ferrari, P.A. and Barberio, A. (2012). Simulating ordinal data. Multivariate Behavioral Research, 47(4), 566-589.
+Ferrari, P.A. and Barbiero, A. (2012). Simulating ordinal data. Multivariate Behavioral Research, 47(4), 566-589.
 
-Barberio, A. and Ferrari, P.A. (2015). GenOrd: Simulation of ordinal and discrete variables with given correlation matrix and marginal distributions.
+Barbiero, A. and Ferrari, P.A. (2015). GenOrd: Simulation of ordinal and discrete variables with given correlation matrix and marginal distributions.
 http://www.cran.r-project.org/web/packages/GenOrd.
 }