Running Commands Remotely on 'Gridengine' Clusters
Run lapply() calls in parallel by submitting them to
'gridengine' clusters using the 'qsub' command.
dplyr, glue, methods, processx, purrr, random, readr, ssh,
stringr, tidyr, utils

dplyr, glue, methods, pbapply, processx, purrr, random, readr,
ssh, stringr, tidyr, utils

dplyr, glue, methods, pbapply, processx, purrr, random, readr,
ssh, stringr, tidyr, tools, utils

Dynamic bindings to the Qt library for calling Qt
methods and extending Qt classes from R. Other packages build upon 'qtbase'
to provide special-purpose high-level interfaces to specific parts of Qt.
Qt4 libraries and headers (http://qt.nokia.com),
cmake (http://www.cmake.org)
QtRuby and Qyoto projects for head-start on the
Smoke-based interface

Dynamic bindings to the 'Qt' library for calling 'Qt'
methods and extending 'Qt' classes from R. Other packages build upon 'qtbase'
to provide special-purpose high-level interfaces to specific parts of 'Qt'.

Dynamic bindings to the Qt library for calling Qt methods
and extending Qt clases from R. Other packages build upon
qtbase to provide special-purpose high-level interfaces to
specific parts of Qt.

Provides several methods for computing the Quantile Treatment Effect (QTE) and Quantile Treatment Effect on the Treated (QTET).  The main cases covered are (i) Treatment is randomly assigned, (ii) Treatment is as good as randomly assigned after conditioning on some covariates (also called conditional independence or selection on observables), (iii) Identification is based on a Difference in Differences assumption (several varieties are available in the package).

Provides several methods for computing the Quantile Treatment
Effect (QTE) and Quantile Treatment Effect on the Treated (QTET). The main cases
covered are (i) Treatment is randomly assigned, (ii) Treatment is as good as
randomly assigned after conditioning on some covariates (also called conditional
independence or selection on observables), (iii) Identification is based on a
Difference in Differences assumption (several varieties are available in the
package).
Hmisc, parallel, quantreg, BMisc, formula.tools, ggplot2,
texreg