Imports: methods, utils, parallel, matrixStats, mlr, parallelMap, sp,
geoR, plyr, rgdal, gdalUtils, raster, ranger, rpart,
forestError, nnet, xgboost, kernlab, glmnet, ParamHelpers,
Suggests: boot, nabor, meteo, mda, psych, fossil, rjson, spatstat,
spatstat.core, maxlike, RCurl, deepnet, RSAGA, plotKML

Imports: methods, utils, parallel, geoR, matrixStats, ranger, glmnet,
mda, mlr, parallelMap, sp, spdep, rgdal, gdalUtils, raster,
Suggests: fossil, xgboost, plyr, kernlab, nnet, rjson, spatstat,

Imports: methods, utils, parallel, matrixStats, ranger, glmnet, mlr,
parallelMap, sp, rgdal, gdalUtils, raster
Suggests: geoR, ParamHelpers, mda, psych, spdep, fossil, xgboost, plyr,
kernlab, nnet, rjson, spatstat, maptools, maxlike, RCurl, aqp,
deepnet, RSAGA, soiltexture, snowfall, plotKML, boot

glmnet, mlr, parallelMap, sp, rgdal, meteo, gdalUtils, raster
kernlab, nnet, rjson, spatstat, spatstat.core, maptools,
maxlike, RCurl, aqp, deepnet, RSAGA, soiltexture, snowfall,

Title: Landmark Prediction for Mixture Data
Description: Non-parametric prediction of survival outcomes for mixture data that incorporates covariates and a landmark time. Details are described in Garcia (2021) <doi:10.1093/biostatistics/kxz052>.

Title: Landmark Prediction of a Survival Outcome
Description: This package includes functions for landmark prediction of a survival outcome incorporating covariate and short-term event information. For more information about landmark prediction please see: Parast, Layla, Su-Chun Cheng, and Tianxi Cai. Incorporating short-term outcome information to predict long-term survival with discrete markers. Biometrical Journal 53.2 (2011): 294-307.

Description: Provides functions for landmark prediction of a survival outcome incorporating covariate and short-term event information. For more information about landmark prediction please see: Parast, Layla, Su-Chun Cheng, and Tianxi Cai. Incorporating short-term outcome information to predict long-term survival with discrete markers. Biometrical Journal 53.2 (2011): 294-307, <doi:10.1002/bimj.201000150>.