Title: Panel Dynamic OLS Estimation of Cointegrating Vectors
Authors@R: person("Raad", "Khraishi", email = "raadkhraishi+pdolsms@gmail.com", role = c("aut", "cre"))
Description: Estimates panel data cointegrating relationships following the estimator of Mark and Sul (2003), <DOI:10.1111/j.1468-0084.2003.00066.x>.
Packaged: 2016-01-24 18:07:18 UTC; rkhraishi

Packaged: 2016-01-25 23:36:48 UTC; rkhraishi

Description: A general framework for creating partial dependence plots from
various types machine learning models in R.
Suggests: e1071, kernlab, nnet, party, partykit, randomForest, rpart,
Imports: grDevices, lattice, magrittr, mgcv, plyr, stats, viridis

Description: A general framework for constructing partial dependence plots from
various types of machine learning models in R.
Suggests: C50, Cubist, e1071, kernlab, nnet, party, partykit,

Suggests: C50, Cubist, e1071, earth, gbm, kernlab, nnet, party,
Imports: grDevices, lattice, magrittr, mgcv, plyr, randomForest, stats,

Description: A general framework for constructing partial dependence (i.e.,
marginal effect) plots from various types machine learning models in R.
Suggests: C50, caret, Cubist, e1071, earth, gbm, kernlab, nnet, party,
partykit, randomForest, rpart, testthat, xgboost

partykit, randomForest, rpart, testthat, xgboost (>= 0.6-0)
Imports: grDevices, gridExtra, lattice, magrittr, mgcv, plyr, stats,

Suggests: adabag, C50, caret, Cubist, e1071, earth, gbm, ipred,
kernlab, nnet, party, partykit, randomForest, ranger, rpart,

kernlab, MASS, mda, nnet, party, partykit, randomForest,
ranger, rpart, testthat, xgboost (>= 0.6-0)
Imports: boot, dplyr, ggplot2 (>= 0.9.0), grDevices, gridExtra,
lattice, magrittr, methods, mgcv, plyr, Rcpp (>= 0.11.5),

Imports: ggplot2 (>= 0.9.0), grDevices, gridExtra, lattice, magrittr,
methods, mgcv, plyr, stats, viridis, utils

Suggests: adabag, AmesHousing, C50, caret, Cubist, doParallel, dplyr,
e1071, earth, gbm, ipred, keras, kernlab, MASS, mda, nnet,
party, partykit, progress, randomForest, ranger, rpart,
testthat, xgboost (>= 0.6-0), knitr, rmarkdown, vip