Description: Using embedded sdmx queries, get the data of more than 150 000 insee series from 'bdm' macroeconomic database.

Title: insideRODE build in function with ODE solver and C/FORTRAN
Depends: R (>= 2.12.0), deSolve, nlme, lattice
Description: insideRODE build in function with ODE solver and C/FORTRAN
interface to nlme, including nlmLSODA, nlmODE, nlmVODE,nlmLSODE
for general ODE; cfLSODA,cfLSODE, cfODE, cfVODE solver for
C/FORTRAN based ODE.V1.2 CAN READ DLLNAME BY DLL loaded.
Packaged: 2011-03-24 02:56:56 UTC; Administrator

Package: insideRODE
Type: Package
Title: insideRODE includes buildin functions with deSolve solver and
C/FORTRAN interfaces to nlme, together with compiled codes.
Version: 2.0
Date: 2011-04-19
Author: YUZHUO PAN, XIAOYU YAN
Maintainer: YUZHUO PAN <yuzhuo.pan@gmail.com>
Depends: R (>= 2.13.0), deSolve, nlme, lattice, compiler
Description: insideRODE package includes buildin functions from
deSolve, compiled functions from compiler, and C/FORTRAN code
interfaces to nlme. It includes nlmLSODA, nlmODE,
nlmVODE,nlmLSODE for general purpose; cfLSODA,cfLSODE, cfODE,
cfVODE call C/FORTRAN compiled dll functions.ver2.0 add
sink()function into example it helps to directly combine
c/fortran source code in R files. Finally, with new compiler
package, we generated compiled functions: nlmODEcp, nlmVODEcp,
nlmLSODEcp,nlmLSODAcp and cpODE, cpLSODA, cpLSODE, cpVODE. They
will help to increase speed.
License: LGPL (> 2.0)
LazyLoad: yes
Packaged: 2012-10-29 08:59:01 UTC; ripley
Repository: CRAN
Date/Publication: 2012-10-29 08:59:01

Title: Tools to Download Insider Transactions and Holdings
Description: Download insider trading transactions and insider holdings
keyword criteria and generate a relational dataframe.

Title: Easy Access to Model Information for Various Model Objects
Description: A tool to provide an easy, intuitive and consistent access to
information contained in various R models, like model formulas, model terms,
information about random effects, data that was used to fit the model or
data from response variables. 'insight' mainly revolves around two types
of functions: Functions that find (the names of) information, starting with
'find_', and functions that get the underlying data, starting with 'get_'.
The package has a consistent syntax and works with many different model
objects, where otherwise functions to access these information are missing.
Authors@R: c(person("Daniel", "Lüdecke", role = c("aut", "cre"), email = "d.luedecke@uke.de", comment = c(ORCID = "0000-0002-8895-3206")),
person("Dominique", "Makowski", role = c("aut", "ctb"), email = "dom.makowski@gmail.com", comment = c(ORCID = "0000-0001-5375-9967")))
Suggests: AER, betareg, brms, coxme, gam, gamm4, gee, GLMMadaptive,
glmmTMB, gmnl, lfe, MASS, MCMCglmm, mlogit, lme4, mgcv, nnet,
nlme, ordinal, plm, pscl, rstanarm, splines, survey, survival,
Dominique Makowski [aut, ctb] (<https://orcid.org/0000-0001-5375-9967>)