In order to facilitate analysis of datasets hosted on the Crunch
data platform <https://crunch.io/>, the 'crplyr' package implements 'dplyr'
methods on top of the Crunch backend. The usual methods 'select', 'filter',
'group_by', 'summarize', and 'collect' are implemented in such a way as to
perform as much computation on the server and pull as little data locally
as possible.
methods, ggplot2, httptest (>= 3.0.0), lazyeval, lifecycle,
purrr, tibble, rlang, scales, stringr, tidyselect, viridisLite
covr, magrittr, spelling, vdiffr, knitr, testthat, rmarkdown

Stephen Portnoy <portnoy@stat.uiuc.edu>, with
contributions from Tereza Neocleous <neocleou@uiuc.edu>
and Roger Koenker <rkoenker@uiuc.edu>
Quantile regression for randomly censored data

Cross-Recurrence Quantification Analysis for Categorical and
Continuous Time-Series
CRQA is a package to perform cross-recurrence quantification
analysis between two time-series, of either categorical or
continuous values. It provides different methods
for profiling cross-recurrence, i.e., only looking
at the diagonal recurrent points, as well as more
in-depth measures of the whole cross-recurrence plot,
e.g., percentage recurrence.
R (>= 1.8.0), Matrix, tseriesChaos, fields
'CTcrqa.R' 'calcphi.R' 'checkts.R' 'crqa.R' 'drpdfromts.R'
'optimizeParam.R' 'runcrqa.R' 'simts.R' 'spdiags.R' 'takephi.R'
'tt.R' 'wincrqa.R' 'windowdrp.R'

CRQA is a package to perform cross-recurrence quantification
analysis between two time-series, of either categorical or
continuous values. It provides different methods
for profiling cross-recurrence, i.e., only looking
at the diagonal recurrent points, as well as more
in-depth measures of the whole cross-recurrence plot,
e.g., recurrence rate.
'CTcrqa.R' 'calcphi.R' 'checkts.R' 'crqa.R' 'drpdfromts.R'
'optimizeParam.R' 'runcrqa.R' 'simts.R' 'spdiags.R' 'takephi.R'
'theiler.R' 'tt.R' 'wincrqa.R' 'windowdrp.R'

R (>= 3.0.0), Matrix, tseriesChaos, fields

R (>= 3.0.0), Matrix, tseriesChaos, fields, pracma

Moreno I. Coco and Rick Dale with contributions of James D. Dixon and John Nash
Cross-recurrence quantification analysis
of two time-series, of either categorical or
continuous values. It provides different methods
for profiling cross-recurrence, i.e., only looking
at the diagonal recurrent points, as well as more
in-depth measures of the whole cross-recurrence plot,
e.g., recurrence rate.
R (>= 3.0.0), Matrix, tseriesChaos, fields, plot3D, pracma
'ami.R' 'CTcrqa.R' 'calcphi.R' 'checkts.R' 'crqa.R'
'drpdfromts.R' 'lorenzattractor.R' 'optimizeParam.R'
'runcrqa.R' 'simts.R' 'spdiags.R' 'takephi.R' 'theiler.R'
'tt.R' 'wincrqa.R' 'windowdrp.R'