Depends: R (>= 3.5), arules, FactoMineR, mclust, nnet, pls
Rtsne, SnowballC, stats, text2vec, stopwords, utils, wordcloud,

Depends: R (>= 3.5.0), arules, FactoMineR, mclust, nnet, pls

Depends: R (>= 3.5.0), arules, mclust, nnet, pls
Imports: car, caret, class, cluster, e1071, FactoMineR, flexclust, fpc,
glmnet, graphics, grDevices, ibr, irr, kohonen, leaps, MASS,
mda, meanShiftR, methods, questionr, randomForest, ROCR, rpart,

Suggests: arulesViz, car, caret, class, cluster, datasets, e1071, fds,
flexclust, fpc, glmnet, graphics, grDevices, ibr, irr, kohonen,
leaps, MASS, mda, meanShiftR, methods, questionr, randomForest,
ROCR, rpart, rpart.plot, Rtsne, SnowballC, stats, text2vec,

Depends: R (>= 3.5.0), arules, arulesViz, FactoMineR
Suggests: car, caret, class, cluster, datasets, e1071, fds, flexclust,
fpc, glmnet, graphics, grDevices, ibr, irr, kohonen, leaps,
MASS, mda, meanShiftR, methods, questionr, randomForest, ROCR,
rpart, rpart.plot, Rtsne, SnowballC, stats, text2vec,

Authors@R: c(person("Caíque", "de Oliveira de Souza",
email = "forestdataqualitysoftware@gmail.com", role = c("aut", "cre")),
email = "claytonfraga@gmail.com", role = c("ctb", "dtc")),
email = "contatomiqueiasfernandes@gmail.com", role = c("ctb")))
Maintainer: Caíque de Oliveira de Souza <forestdataqualitysoftware@gmail.com>
Description: Contains methods of analysis of forest databases, the purpose of the analyzes is to evaluate
the quality of the data present in the databases focusing on the dimensions of consistency, punctuality
and completeness. Databases can range from forest inventory data to growth model data. The package has
methods to work with large volumes of data quickly, in addition in certain analyzes it is possible to
generate the graphs for a better understanding of the analysis and reporting of the analyzed analysis.
Imports: data.table, sqldf, randomcoloR, ggplot2, plyr, utils, stats
Author: Caíque de Oliveira de Souza [aut, cre],

email = "forestgrowthsoftware@gmail.com", role = c("aut", "cre")),
Maintainer: Caíque de Oliveira de Souza <forestgrowthsoftware@gmail.com>
Description: Forest data quality is a package that contains methods of
analysis of forest databases, the purpose of the analyzes is to evaluate
the quality of the data present in the databases focusing on the dimensions
of consistency, pountuality and completeness. Databases can range from forest
inventory data to growth model data. The package has methods to work with large
volumes of data quickly, in addition in certain analyzes it is possible to generate
the graphs for a better understanding of the analysis and reporting of the analyzed analysis.