Description: Building and forecasting time series data with multiple seasonality using Dynamic Harmonic Regression.
Depends: forecast, future.apply, stats, future, testthat
Packaged: 2019-12-03 08:25:18 UTC; Priyanka Gaikwad

Packaged: 2021-02-28 12:03:27 UTC; Priyanka Gaikwad

Author: Samarendra Das <samarendra4849@gmail.com> and Baidya Nath Mandal <mandal.stat@gmail.com>
Description: Identification of hub genes in a gene co-expression network from gene expression data. The differential network analysis for two contrasting conditions leads to the identification of various types of hubs like Housekeeping, Unique to stress (Disease) and Unique to control (Normal) hub genes.
Packaged: 2016-09-05 12:56:46 UTC; samarendra

Title: Double Hierarchical Generalized Linear Models
Description: The dhglm package fits double hierarchical generalized
linear models in which the mean, dispersion parameters for
variance of random effects, and residual variance
(overdispersion) can be further modeled as random-effect
Depends: R (>= 2.10.0), Matrix, numDeriv, boot
Packaged: 2011-09-29 21:20:43 UTC; Administrator

Description: Double hierarchical generalized linear models in which the mean, dispersion parameters for variance of random effects, and residual variance (overdispersion) can be further modeled as random-effect models.
Depends: R (>= 3.1.0), methods, Matrix, numDeriv, boot

Depends: R (>= 3.1.0), methods, Matrix, numDeriv, boot, MASS

Description: Implements double hierarchical generalized linear models in which the mean, dispersion parameters for variance of random effects, and residual variance (overdispersion) can be further modeled as random-effect models.
Depends: R (>= 3.4.0), methods, Matrix, boot, MASS, car, sandwich

Authors@R: person("Runlong", "Tang", email = "tangrunlong@gmail.com", role = c("aut", "cre"))
Description: The density, cumulative distribution, quantiles,
and i.i.d random variables of a heavy-headed distribution.
For more information, please see the vignette.

Authors@R: c(person(c("Ilya", "Y."), "Zhbannikov", email = "ilya.zhbannikov@duke.edu", role = c("aut", "cre")),
person(c("Konstantin", "G"), "Arbeev", role = c("ctb"), comment = "Konstantin supervised the technical/software development."),
person(c("Anatoliy","I"), "Yashin", role = c("ctb"), comment = "Anatoliy supervised the technical/software development and is a Principal Invesigator of this project"))
Maintainer: Ilya Y. Zhbannikov <ilya.zhbannikov@duke.edu>
Description: A set of utilities for calculating the Deficit (frailty) Index (DI) in gerontological studies.
The deficit index was first proposed by Arnold Mitnitski and Kenneth Rockwood
and represents a proxy measure of aging and also can be served as
a sensitive predictor of survival. For more information, see
(i)"Accumulation of Deficits as a Proxy Measure of Aging"
The Scientific World Journal 1, <DOI:10.1100/tsw.2001.58>;
(ii) "Frailty, fitness and late-life mortality in relation to chronological and biological age"
Konstantin G Arbeev [ctb] (Konstantin supervised the technical/software
Anatoliy I Yashin [ctb] (Anatoliy supervised the technical/software
development and is a Principal Invesigator of this project)