c(
person(given = "Youngsun",
family = "Kim",
role = c("aut", "cre"),
email = "kim0sun@korea.ac.kr"),
person(given = "Hwan",
family = "Chung",
role = c("aut"),
email = "hwanch@korea.ac.kr")
)
Fits multiple-group latent class analysis (LCA) for exploring
differences between populations in the data with a multilevel structure.
There are two approaches to reflect group differences in glca:
fixed-effect LCA (Bandeen-Roche et al (1997) <doi:10.1080/01621459.1997.10473658>;
Clogg and Goodman (1985) <doi:10.2307/270847>) and nonparametric random-effect LCA
(Vermunt (2003) <doi:10.1111/j.0081-1750.2003.t01-1-00131.x>).

Calculate textures from grey-level co-occurrence matrices
(GLCMs) in R
person("Alex", "Zvoleff", email="azvoleff@conservation.org",
role=c("aut", "cre"))
Enables calculation of image textures derived from grey-level
co-occurrence matrices (GLCMs) in R. The texture calculation is coded in
C++ to optimize computation time.

Enables calculation of image textures derived from grey-level
co-occurrence matrices (GLCMs) in R. Supports processing images that cannot
fit in memory.

Calculate Textures from Grey-Level Co-Occurrence Matrices
(GLCMs)
Enables calculation of image textures derived from grey-level
co-occurrence matrices (GLCMs). Supports processing images that cannot
fit in memory.

Enables calculation of image textures (Haralick 1973)
<doi:10.1109/TSMC.1973.4309314> from grey-level co-occurrence matrices
(GLCMs). Supports processing images that cannot fit in memory.

Basic functions for the generalised (Tukey) lambda distribution
The generalised lambda distribution, or Tukey lambda distribution,
provides a wide variety of shapes with one functional form.  This
package provides random numbers, quantiles, probabilities and densities.
Load this package, together with the drawdist package to draw pdfs
and distribution functions for the gld.

The generalised lambda distribution, or Tukey lambda distribution,
provides a wide variety of shapes with one functional form.  This
package provides random numbers, quantiles, probabilities and densities.