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Pharmpy 1.6.0 documentation - Home Pharmpy 1.6.0 documentation - Home
  • About us
  • Getting started
  • User guide
  • API Reference
  • Changelog
    • Contribute
    • References and citation
    • License
    • Documentation for developers
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  • About us
  • Getting started
  • User guide
  • API Reference
  • Changelog
  • Contribute
  • References and citation
  • License
  • Documentation for developers
  • GitHub
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Section Navigation

  • Tools
    • General
      • Common features
      • Model Feature Language (MFL)
      • Strictness
    • AMD - automatic model development
      • PK
      • PKPD
      • TMDD
      • Drug Metabolite
    • Modelsearch - search for best structural model for a PK model
    • Structsearch - search for best structural model for PKPD, drug metabolite and TMDD models
      • PKPD
      • TMDD
      • Drug Metabolite
    • IIVsearch - search for best IIV structure (both variance and covariance)
    • IOVsearch - search for best IOV structure and trim IIV
    • COVsearch - identify covariates that explain some of the IIV
    • RUVsearch - search for best residual error model
    • allometry - add allometric scaling
    • estmethod - compare estimation methods and/or solvers
    • Retries - Rerun a model with tweaked initial estimates
    • Simulation - Run a simulation
    • Linearize - Linearize a model
  • Model estimation and results
  • Modeling
  • The Pharmpy model
  • Dataset
  • Configuration
  • Pharmpy in R
  • Command line interface
  • PsN with Pharmpy
    • Bootstrap
    • Case deletion diagnostics
    • Crossval
    • FREM
    • Linearize
    • QA
    • resmod
    • scm
    • Simeval
  • User guide

User guide#

Here you can find information on how to use Pharmpy in Python and R as well as from the command line. This guide covers basic use cases in Pharmpy. More detailed information can be found in the API reference.

  • Tools
    • Tools in Pharmpy
    • Common options
  • Model estimation and results
    • Fitting a model
    • Modelfit results
  • Modeling
    • Basic functions
    • Create basic models
    • Modeling transformations
    • Examining and modifying dataset
  • The Pharmpy model
    • Reading in a model
    • Writing a model
    • Inspecting the model attributes
    • Low level manipulations of the model object
  • Dataset
    • Retrieving the dataset from a model
    • Update the dataset of a model
    • DataInfo
  • Configuration
    • The configuration file
    • Available configurations
    • Environment variables
  • Pharmpy in R
    • Installing pharmr
    • Using pharmr
    • Gotchas
  • Command line interface
    • pharmpy
  • PsN with Pharmpy
    • Tools connected to PsN

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Simple estimation example

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Tools

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