/
_pkgdown.yml
80 lines (76 loc) · 2.42 KB
/
_pkgdown.yml
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url: samabbott.co.uk/idmodelr/
template:
params:
bootswatch: lumen
docsearch:
api_key: ec77738e3c0c9f4b2529464269a70757
index_name: samabbott-idmodelr
development:
mode: release
navbar:
type: inverse
left:
- text: "Home"
href: index.html
- text: "Articles"
menu:
- text: "Other resources"
href: articles/resources.html
- text: "Models & parameters"
menu:
- text: "Model details"
href: articles/model_details.html
- text: "Parameter details"
href: articles/parameter_details.html
- text: News
menu:
- text: "Blog posts"
href: https://www.samabbott.co.uk/tags/idmodelr/
- text: "------------------"
- text: "Change log"
href: news/index.html
- icon: fa-file-code-o
text: "Functions"
href: reference/index.html
reference:
- title: Datasets
desc: Datasets built into the package. These include details of implemented models and common parameters.
contents:
- model_details
- parameter_details
- title: Deterministic Compartmental Models
desc: Deterministic compartmental ODE models potentially including demographic processes, vaccination, and/or risk stratification etc. See documentation and `model_details` for information.
contents:
- ends_with("I_ode")
- ends_with("S_ode")
- ends_with("R_ode")
- ends_with("vaccination_ode")
- ends_with("risk_ode")
- ends_with("demographics_ode")
- title: Simulation Utilities
desc: Functions for solving, simulating, and summarising ID models.
contents:
- solve_ode
- simulate_model
- summarise_model
- title: Plotting Utilities
desc: Functions for plotting ID models
contents:
- starts_with("plot")
- title: Workflow Utilities
desc: Functions to streamline the workflow of using ID models. These include random parameter set generation, scenario analysis and estimation of normal distrubutions based on published information.
contents:
- required_parameters
- generate_parameter_permutations
- scenario_analysis
- estimate_norm_dist_from_ci
- title: Munging Utilities
desc: Functions to facilitate munging (i.e manipulation) of ID model simulations
contents:
- starts_with("gather_")
- starts_with("aggregate_")
- starts_with("combine_")
- model_df_to_vector
- add_pointer_struct
- summarise_strat_var
- summarise_var_by_strat