PoPy
1.0.3
  • Getting Started Guide
  • Principles of Pharmacokinetics
  • Population Models in PoPy
  • PoPy Example Models
  • PoPy for Nonmem Users
  • PoPy Reference Guide
  • Appendices
PoPy
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  • Index

Index

A | B | C | D | E | F | G | H | I | J | L | M | N | O | P | R | S | T | V | W | Y

A

  • Akaike information criterion
  • auto

B

  • basin of convergence
  • bool

C

  • C++
  • categorical covariates
  • clearance
  • Compartment Diagram
  • confidence intervals
  • covariance matrix
  • covariates
  • Cython

D

  • DDMoRe
  • dict
  • dict_record
  • dos prompt

E

  • elimination

F

  • first order conditional estimation
  • first pass effect
  • fixed effects
  • float
  • FOCE

G

  • Graphviz

H

  • hessian
  • HTML

I

  • IMP
  • importance sampling
  • initial value problem
  • input_file
  • input_file_as_glob
  • input_files_as_glob
  • input_folder
  • int
  • iterative two stage
  • ITS
  • IV

J

  • JOE
  • joint optimisation and estimation

L

  • LAPLACE
  • Laplace approximation
  • laplace fitting method
  • Likelihood
  • list
  • list_of
  • list_record
  • LSODA

M

  • mass balance
  • metabolism
  • Microsoft Windows
  • mixed effect model
  • model parameters
  • Monolix
  • MPI

N

  • noise
  • none
  • Nonmem

O

  • objective function
  • OBJV
  • observations
  • ODEs
  • one_of
  • one_of_record
  • ordinal covariates
  • ordinary differential equations
  • output_file
  • output_folder

P

  • PK/PD
  • powershell prompt
  • practically identifiable
  • practically unidentifiable
  • predictions
  • product key
  • pseudocode
  • Python

R

  • R
  • random effects
  • repeat_dict_record
  • repeat_verb_record

S

  • SAEM
  • shrinkage
  • solutions
  • Sphinx
  • star
  • state parameters
  • stochastic approximation expectation maximisation
  • str
  • structurally identifiable
  • structurally unidentifiable
  • symmetric positive definite

T

  • TSLD

V

  • variance
  • verbatim
  • visual predictive check
  • volume of distribution
  • VPC

W

  • wrt

Y

  • YAML

© Copyright 2020, David Cristinacce/Phil Tresadern/Andrew Cristinacce/James Wright.

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