M. Helena Goncalves and M. Salome Cabral (2021). <doi:10.18637/jss.v099.i03>.
Depends: R (>= 3.5.3), methods, stats, graphics, grDevices, utils,

Package: cold
Type: Package
Title: Count Longitudinal Data
Version: 2.0-3
Author: M. Helena Goncalves and M. Salome Cabral,
apart from a set of Fortran-77 subroutines written by R. Piessens
and E. de Doncker, belonging to the suite "Quadpack".
Maintainer: M. Helena Goncalves <mhgoncal@ualg.pt>
Description: Performs regression analysis for longitudinal count data,
allowing for serial dependence among observations from a given
individual and two dimensional random effects on the linear predictor.
Estimation is via maximization of the exact likelihood of a suitably
defined model. Missing values and unbalanced data are allowed.
Details can be found in the accompanying scientific papers:
Goncalves & Cabral (2021, Journal of Statistical Software,
<doi:10.18637/jss.v099.i03>) and Goncalves et al.
(2007, Computational Statistics & Data Analysis,
<doi:10.1016/j.csda.2007.03.002>).
Encoding: UTF-8
NeedsCompilation: yes
License: GPL (>= 2)
LazyLoad: yes
LazyData: yes
Depends: R (>= 3.5.3), methods, stats, graphics, grDevices, utils,
cubature, MASS
Packaged: 2021-08-23 07:51:48 UTC; mhgon
Repository: CRAN
Date/Publication: 2021-08-25 10:00:02 UTC

Title: Constrained Optimization on Linear Function
Description: Performs least squares constrained optimization on a linear objective function. It contains
a number of algorithms to choose from and offers a formula syntax similar to lm().

Depends: R (>= 3.2.0), nlsr, stats, utils

Title: Auxiliary Package for Package 'CollapsABEL'
Description: Provides some low level functions for processing PLINK input and output files.

supporting grouped and weighted computations on vectors, matrices and
data frames. Fast (ordered) and programmable grouping, factor
generation, manipulation of data frames and data object conversions.
sweeping out of statistics, scaling / standardizing, centering (i.e.
between and within transformations), higher-dimensional centering
(i.e. multiple fixed effects transformations), linear
(lagged / leaded, iterated, quasi-, log-) differences and growth
rates on (unordered) time-series and panel data. Multivariate auto,
partial and cross-correlation functions for panel data.
(5) List processing: (Recursive) list search / identification, extraction /
subsetting, data-apply, and generalized row-binding / unlisting in 2D.
Packaged: 2020-05-18 23:09:42 UTC; Sebastian Krantz