Converts table-like objects to stand-alone PDF or PNG.
Can be used to embed tables and arbitrary content in PDF or Word
documents. Provides a low-level R interface for creating 'LaTeX'
code, e.g. command() and a high-level interface for creating PDF
documents, e.g. as.pdf.data.frame(). Extensive customization is
available via mid-level functions, e.g. as.tabular(). See also
'package?latexpdf'. Support for PNG is experimental; see
'as.png.data.frame'. Adapted from 'metrumrg'
<http://r-forge.r-project.org/R/?group_id=1215>.
Requires a compatible installation of 'pdflatex',
e.g. <https://miktex.org/>.

Converts table-like objects to stand-alone PDF or PNG.
Can be used to embed tables and arbitrary content in PDF or Word
documents. Provides a low-level R interface for creating 'LaTeX'
code, e.g. command() and a high-level interface for creating PDF
documents, e.g. as.pdf.data.frame(). Extensive customization is
available via mid-level functions, e.g. as.tabular(). See also
'package?latexpdf'. Support for PNG is experimental; see
'as.png.data.frame'. Adapted from 'metrumrg'
<https://r-forge.r-project.org/R/?group_id=1215>.
Requires a compatible installation of 'pdflatex',
e.g. <https://miktex.org/>.

Framework for Clustering Longitudinal Data
A framework for clustering longitudinal datasets in a standardized way. Provides an interface to existing R packages for clustering longitudinal univariate trajectories, facilitating reproducible and transparent analyses. Additionally, standard tools are provided to support cluster analyses, including repeated estimation, model validation, and model assessment. The interface enables users to compare results between methods, and to implement and evaluate new methods with ease.
c(person(given = "Niek",
family = "Den Teuling",
role = c("aut", "cre"),
email = "niek.den.teuling@philips.com",
comment = c(ORCID = "https://orcid.org/0000-0003-1026-5080")),
person(given = "Steffen",
family = "Pauws",
role = "ctb",
email = "s.c.pauws@uvt.nl"),
person(given = "Edwin",
family = "van den Heuvel",
role = "ctb",
email = "e.r.v.d.heuvel@tue.nl"),
person(given = "Copyright © 2020 Koninklijke Philips N.V.",
role = "cph"))
'assert.R' 'compute.R' 'data.R' 'formula.R' 'generics.R'
'latrend.R' 'make.R' 'matrix.R' 'method.R' 'methodMatrix.R'
'methodAKMedoids.R' 'methodCrimCV.R' 'methodCustom.R'
'methodDtwclust.R' 'methodFlexmix.R' 'methodFlexmixGBTM.R'
'methodFunFEM.R' 'plot.R' 'model.R' 'modelCustom.R'
'methodTwoStep.R' 'methodGCKM.R' 'methodKML.R' 'methodLMKM.R'
'methodLcmmGMM.R' 'methodLcmmGBTM.R' 'methodLongclust.R'
'methodMclustLLPA.R' 'methodMixAK_GLMM.R' 'methodMixTVEM.R'
'methodMixtoolsGMM.R' 'methodMixtoolsNPRM.R' 'methodRandom.R'
'methodStratify.R' 'methods.R' 'metrics.R' 'model-summary.R'
'model-transform.R' 'modelApprox.R' 'modelCrimCV.R'
'modelDtwclust.R' 'modelFlexmix.R' 'modelFunFEM.R' 'modelKML.R'
'modelLMKM.R' 'modelLcmmGMM.R' 'modelLcmmGBTM.R'
'modelLongclust.R' 'modelMclustLLPA.R' 'modelMixAK_GLMM.R'
'modelMixAK_GLMMlist.R' 'modelMixTVEM.R' 'modelMixtoolsGMM.R'
'modelMixtoolsRM.R' 'modelPartition.R' 'modelStratify.R'
'modelTwoStep.R' 'modelWeightedPartition.R' 'models.R'
'random.R' 'verbose.R' 'zzz.R'
Niek Den Teuling [aut, cre] (<https://orcid.org/0000-0003-1026-5080>),
Steffen Pauws [ctb],
Edwin van den Heuvel [ctb],
Copyright © 2020 Koninklijke Philips N.V. [cph]