OrdNor - Concurrent Generation of Ordinal and Normal Data with Given Correlation Matrix and Marginal Distributions

Implementation of a procedure for generating samples from a mixed distribution of ordinal and normal random variables with a pre-specified correlation matrix and marginal distributions. The details of the method are explained in Demirtas et al. (2015) <DOI:10.1080/10543406.2014.920868>.

Last updated 4 years ago

2.38 score 2 stars 4 packages 9 scripts 206 downloads

MultiRNG - Multivariate Pseudo-Random Number Generation

Pseudo-random number generation for 11 multivariate distributions: Normal, t, Uniform, Bernoulli, Hypergeometric, Beta (Dirichlet), Multinomial, Dirichlet-Multinomial, Laplace, Wishart, and Inverted Wishart. The details of the method are explained in Demirtas (2004) <DOI:10.22237/jmasm/1099268340>.

Last updated 4 years ago

2.12 score 1 packages 44 scripts 528 downloads

BinOrdNonNor - Concurrent Generation of Binary, Ordinal and Continuous Data

Generation of samples from a mix of binary, ordinal and continuous random variables with a pre-specified correlation matrix and marginal distributions. The details of the method are explained in Demirtas et al. (2012) <DOI:10.1002/sim.5362>.

Last updated 4 years ago

2.00 score 3 packages 11 scripts 285 downloads

BinNonNor - Data Generation with Binary and Continuous Non-Normal Components

Generation of multiple binary and continuous non-normal variables simultaneously given the marginal characteristics and association structure based on the methodology proposed by Demirtas et al. (2012) <DOI:10.1002/sim.5362>.

Last updated 4 years ago

1.82 score 2 packages 11 scripts 337 downloads

CorrToolBox - Modeling Correlational Magnitude Transformations in Discretization Contexts

Modeling the correlation transitions under specified distributional assumptions within the realm of discretization in the context of the latency and threshold concepts. The details of the method are explained in Demirtas, H. and Vardar-Acar, C. (2017) <DOI:10.1007/978-981-10-3307-0_4>.

Last updated 3 years ago

1.71 score 1 packages 17 scripts 347 downloads

PoisNonNor - Simultaneous Generation of Count and Continuous Data

Generation of count (assuming Poisson distribution) and continuous data (using Fleishman polynomials) simultaneously. The details of the method are explained in Demirtas et al. (2012) <DOI:10.1002/sim.5362>.

Last updated 4 years ago

1.48 score 1 packages 10 scripts 243 downloads

MultiOrd - Generation of Multivariate Ordinal Variates

A method for multivariate ordinal data generation given marginal distributions and correlation matrix based on the methodology proposed by Demirtas (2006) <DOI:10.1080/10629360600569246>.

Last updated 4 years ago

1.48 score 1 packages 9 scripts 297 downloads

PoisBinOrdNonNor - Generation of Up to Four Different Types of Variables

Generation of a chosen number of count, binary, ordinal, and continuous random variables, with specified correlations and marginal properties. The details of the method are explained in Demirtas (2012) <DOI:10.1002/sim.5362>.

Last updated 4 years ago

1.26 score 18 scripts 277 downloads

BinNor - Simultaneous Generation of Multivariate Binary and Normal Variates

Generating multiple binary and normal variables simultaneously given marginal characteristics and association structure based on the methodology proposed by Demirtas and Doganay (2012) <DOI:10.1080/10543406.2010.521874>.

Last updated 4 years ago

1.26 score 18 scripts 295 downloads

UnivRNG - Univariate Pseudo-Random Number Generation

Pseudo-random number generation of 17 univariate distributions proposed by Demirtas. (2005) <DOI:10.22237/jmasm/1114907220>.

Last updated 4 years ago

1.26 score 18 scripts 206 downloads

PoisBinNonNor - Data Generation with Poisson, Binary and Continuous Components

Generation of multiple count, binary and continuous variables simultaneously given the marginal characteristics and association structure. Throughout the package, the word 'Poisson' is used to imply count data under the assumption of Poisson distribution. The details of the method are explained in Amatya et al. (2015) <DOI:10.1080/00949655.2014.953534>.

Last updated 4 years ago

1.15 score 14 scripts 197 downloads

PoisBinOrd - Data Generation with Poisson, Binary and Ordinal Components

Generation of multiple count, binary and ordinal variables simultaneously given the marginal characteristics and association structure. Throughout the package, the word 'Poisson' is used to imply count data under the assumption of Poisson distribution. The details of the method are explained in Amatya, A. and Demirtas, H. (2015) <DOI:10.1080/00949655.2014.953534>.

Last updated 4 years ago

1.00 score 10 scripts 219 downloads

PoisBinOrdNor - Data Generation with Poisson, Binary, Ordinal and Normal Components

Generation of multiple count, binary, ordinal and normal variables simultaneously given the marginal characteristics and association structure. The details of the method are explained in Demirtas et al. (2012) <DOI:10.1002/sim.5362>.

Last updated 4 years ago

1.00 score 10 scripts 282 downloads

PoisNor - Simultaneous Generation of Multivariate Data with Poisson and Normal Marginals

Generates multivariate data with count and continuous variables with a pre-specified correlation matrix. The count and continuous variables are assumed to have Poisson and normal marginals, respectively. The data generation mechanism is a combination of the normal to anything principle and a connection between Poisson and normal correlations in the mixture. The details of the method are explained in Yahav et al. (2012) <DOI:10.1002/asmb.901>.

Last updated 4 years ago

1.00 score 10 scripts 233 downloads

BivUnifBin - Generation of Bivariate Uniform Data and Its Relation to Bivariate Binary Data

Simulation of bivariate uniform data with a full range of correlations based on two beta densities and computation of the tetrachoric correlation (correlation of bivariate uniform data) from the phi coefficient (correlation of bivariate binary data) and vice versa.

Last updated 4 years ago

1.00 score 4 scripts 300 downloads