CoronaModeling
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    • Documentation
    • Installation
    • Usage
  • Installation
  • API reference
    • covid.covid_argparse
    • covid.environment
    • covid.fetch
      • covid.fetch.artificial_V
      • covid.fetch.init_estimation_params
      • covid.fetch.latlon_to_place
      • covid.fetch.Dataset
    • covid.models
      • covid.models.ramp_function
      • covid.models.CompartmentalModel
      • covid.models.SEAIQHRD
      • covid.models.SEIR
      • covid.models.SIR
      • covid.models.SIRD
      • covid.models.SIRV
      • covid.models.SIRVD
      • covid.models.Spatial_SIR
    • covid.postprocessing
      • covid.postprocessing.get_colormap
      • covid.postprocessing.get_date_labels
      • covid.postprocessing.get_map
      • covid.postprocessing.latlonrangetozoom
      • covid.postprocessing.latlontopixels
      • covid.postprocessing.load_data
      • covid.postprocessing.pixelstolatlon
      • covid.postprocessing.plot_compartment
      • covid.postprocessing.plot_compartment_comparison
      • covid.postprocessing.plot_compartments
      • covid.postprocessing.plot_compartments_comparison
      • covid.postprocessing.plot_doubling_trend
    • covid.utilities
      • covid.utilities.beta_interp
      • covid.utilities.cases_to_beta
      • covid.utilities.cost_func
      • covid.utilities.csv_to_json
      • covid.utilities.date_to_int
      • covid.utilities.doubling_time
      • covid.utilities.doubling_trend_to_Sd
      • covid.utilities.exp_decay_func
      • covid.utilities.exp_func
      • covid.utilities.exp_lin_func
      • covid.utilities.flatten
      • covid.utilities.get_beta_ramp
      • covid.utilities.get_logger
      • covid.utilities.get_seasonal_beta_variation
      • covid.utilities.grad_descent
      • covid.utilities.int_to_date
      • covid.utilities.interp_mat
      • covid.utilities.json_handler
      • covid.utilities.laplacian
      • covid.utilities.logistic_func
      • covid.utilities.vec_diff
      • covid.utilities.initial_values
  • Command Line Use
    • Run COVID model
      • Named Arguments
CoronaModeling
  • »
  • Clone repo (recommended for developers)
  • Edit on GitHub

Clone repo (recommended for developers)

  1. from home dir, git clone git@github.com:bnb32/corona_modeling.git

  2. Create covid environment and install package
    1. Create a conda env: conda create -n covid

    2. Run the command: conda activate covid

    3. cd into the repo cloned in 1.

    4. prior to running pip below, make sure the branch is correct (install from main!)

    5. Install covid and its dependencies by running: pip install . (or pip install -e . if running a dev branch or working on the source code)

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