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.Rbuildignore

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^.*\.Rproj$
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^\.Rproj\.user$
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^\.github$
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^LICENSE\.md$

DESCRIPTION

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Package: DTtoMM
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Title: What the Package Does (One Line, Title Case)
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Title: Decision tree to Markov model
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Version: 0.0.0.9000
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Authors@R:
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person("First", "Last", , "first.last@example.com", role = c("aut", "cre"),
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comment = c(ORCID = "YOUR-ORCID-ID"))
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Description: What the package does (one paragraph).
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License: `use_mit_license()`, `use_gpl3_license()` or friends to pick a
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license
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person(given = "Nathan", "Green", , "n.green@ucl.ac.uk", role = c("aut", "cre"),
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comment = c(ORCID = "0000-0003-2745-1736", ror = "02jx3x895"))
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Description: A framework to link together decision tree and Markov models for cost-effectiveness analysis.
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License: MIT + file LICENSE
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Encoding: UTF-8
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Roxygen: list(markdown = TRUE)
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RoxygenNote: 7.3.2
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RoxygenNote: 7.3.2.9000

LICENSE

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YEAR: 2025
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COPYRIGHT HOLDER: DTtoMM authors

LICENSE.md

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# MIT License
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Copyright (c) 2025 DTtoMM authors
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.

NAMESPACE

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# Generated by roxygen2: do not edit by hand
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S3method(DecisionTree,default)
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S3method(MarkovModel,default)
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S3method(get_costs,CombinedModel)
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S3method(get_costs,DecisionTree)
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S3method(get_costs,MarkovModel)
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S3method(get_costs,default)
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S3method(get_effects,CombinedModel)
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S3method(get_effects,DecisionTree)
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S3method(get_effects,MarkovModel)
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S3method(get_effects,default)
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S3method(run_model,CombinedModel)
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S3method(run_model,DecisionTree)
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S3method(run_model,MarkovModel)
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S3method(update_model,DecisionTree)
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S3method(update_model,MarkovModel)
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S3method(update_model,default)
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export(CombinedModel)
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export(DecisionTree)
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export(MarkovModel)
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export(analysis)
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export(get_costs)
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export(get_effects)
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export(map_decision_to_markov)
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export(map_markov_to_decision)
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export(run_model)
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export(update_model)
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import(dplyr)

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