From 2bb59c88d49b193f278916ad9cc4de83c0de9604 Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Wed, 2 Mar 2022 18:03:54 +0100 Subject: Make tests more platform independent, update docs --- docs/reference/index.html | 583 +++++++++++++--------------------------------- 1 file changed, 156 insertions(+), 427 deletions(-) (limited to 'docs/reference/index.html') diff --git a/docs/reference/index.html b/docs/reference/index.html index ff7a4198..552829bf 100644 --- a/docs/reference/index.html +++ b/docs/reference/index.html @@ -1,66 +1,12 @@ - - - - - - - -Function reference • mkin - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -Function reference • mkin - - - - + + -
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Main functions

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Essential functionality

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Main functions

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Essential functionality

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mkinmod() print(<mkinmod>) mkinsub()

Function to set up a kinetic model with one or more state variables

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mkinfit()

Fit a kinetic model to data with one or more state variables

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mmkin() print(<mmkin>)

Fit one or more kinetic models with one or more state variables to one or more datasets

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nafta() print(<nafta>)

Evaluate parent kinetics using the NAFTA guidance

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Show results

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Functions working with mkinfit objects

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Show results

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Functions working with mkinfit objects

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plot(<mkinfit>) plot_sep() plot_res() plot_err()

Plot the observed data and the fitted model of an mkinfit object

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summary(<mkinfit>) print(<summary.mkinfit>)

Summary method for class "mkinfit"

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parms()

Extract model parameters from mkinfit models

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confint(<mkinfit>)

Confidence intervals for parameters of mkinfit objects

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update(<mkinfit>)

Update an mkinfit model with different arguments

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lrtest(<mkinfit>) lrtest(<mmkin>)

Likelihood ratio test for mkinfit models

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loftest()

Lack-of-fit test for models fitted to data with replicates

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mkinerrmin()

Calculate the minimum error to assume in order to pass the variance test

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endpoints()

Function to calculate endpoints for further use from kinetic models fitted with mkinfit

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aw()

Calculate Akaike weights for model averaging

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CAKE_export()

Export a list of datasets format to a CAKE study file

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Work with mmkin objects

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Functions working with aggregated results

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Work with mmkin objects

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Functions working with aggregated results

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`[`(<mmkin>)

Subsetting method for mmkin objects

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plot(<mmkin>)

Plot model fits (observed and fitted) and the residuals for a row or column of an mmkin object

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AIC(<mmkin>) BIC(<mmkin>)

Calculate the AIC for a column of an mmkin object

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Mixed models

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Create and work with nonlinear mixed effects models

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Mixed models

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Create and work with nonlinear mixed effects models

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nlme(<mmkin>) print(<nlme.mmkin>) update(<nlme.mmkin>)

Create an nlme model for an mmkin row object

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saem() print(<saem.mmkin>) saemix_model() saemix_data()

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Fit nonlinear mixed models with SAEM

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nlmixr(<mmkin>) print(<nlmixr.mmkin>) nlmixr_model() nlmixr_data()

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Fit nonlinear mixed models using nlmixr

plot(<mixed.mmkin>)

Plot predictions from a fitted nonlinear mixed model obtained via an mmkin row object

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summary(<nlme.mmkin>) print(<summary.nlme.mmkin>)

Summary method for class "nlme.mmkin"

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nlme_function() mean_degparms() nlme_data()

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summary(<nlmixr.mmkin>) print(<summary.nlmixr.mmkin>)

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Summary method for class "nlmixr.mmkin"

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summary(<saem.mmkin>) print(<summary.saem.mmkin>)

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Summary method for class "saem.mmkin"

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nlme_function() nlme_data()

Helper functions to create nlme models from mmkin row objects

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get_deg_func()

Retrieve a degradation function from the mmkin namespace

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mixed() print(<mixed.mmkin>)

Create a mixed effects model from an mmkin row object

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Datasets and known results

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reexports

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Objects exported from other packages

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intervals(<saem.mmkin>)

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Confidence intervals for parameters in saem.mmkin objects

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intervals(<nlmixr.mmkin>)

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Confidence intervals for parameters in nlmixr.mmkin objects

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Datasets and known results

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focus_soil_moisture

FOCUS default values for soil moisture contents at field capacity, MWHC and 1/3 bar

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D24_2014

Aerobic soil degradation data on 2,4-D from the EU assessment in 2014

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dimethenamid_2018

Aerobic soil degradation data on dimethenamid and dimethenamid-P from the EU assessment in 2018

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FOCUS_2006_A FOCUS_2006_B FOCUS_2006_C FOCUS_2006_D FOCUS_2006_E FOCUS_2006_F

Datasets A to F from the FOCUS Kinetics report from 2006

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FOCUS_2006_SFO_ref_A_to_F

Results of fitting the SFO model to Datasets A to F of FOCUS (2006)

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FOCUS_2006_FOMC_ref_A_to_F

Results of fitting the FOMC model to Datasets A to F of FOCUS (2006)

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FOCUS_2006_HS_ref_A_to_F

Results of fitting the HS model to Datasets A to F of FOCUS (2006)

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FOCUS_2006_DFOP_ref_A_to_B

Results of fitting the DFOP model to Datasets A to B of FOCUS (2006)

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NAFTA_SOP_Appendix_B NAFTA_SOP_Appendix_D

Example datasets from the NAFTA SOP published 2015

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NAFTA_SOP_Attachment

Example datasets from Attachment 1 to the NAFTA SOP published 2015

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mccall81_245T

Datasets on aerobic soil metabolism of 2,4,5-T in six soils

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schaefer07_complex_case

Metabolism data set used for checking the software quality of KinGUI

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synthetic_data_for_UBA_2014

Synthetic datasets for one parent compound with two metabolites

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experimental_data_for_UBA_2019

Experimental datasets used for development and testing of error models

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test_data_from_UBA_2014

Three experimental datasets from two water sediment systems and one soil

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print(<mkinds>)

A dataset class for mkin

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print(<mkindsg>)

A class for dataset groups for mkin

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NAFTA guidance

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NAFTA guidance

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nafta() print(<nafta>)

Evaluate parent kinetics using the NAFTA guidance

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plot(<nafta>)

Plot the results of the three models used in the NAFTA scheme.

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Utility functions

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Utility functions

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f_time_norm_focus()

Normalisation factors for aerobic soil degradation according to FOCUS guidance

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max_twa_parent() max_twa_sfo() max_twa_fomc() max_twa_dfop() max_twa_hs()

Function to calculate maximum time weighted average concentrations from kinetic models fitted with mkinfit

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mkin_wide_to_long()

Convert a dataframe with observations over time into long format

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mkin_long_to_wide()

Convert a dataframe from long to wide format

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Helper functions mainly used internally

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Helper functions mainly used internally

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mkinpredict()

Produce predictions from a kinetic model using specific parameters

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transform_odeparms() backtransform_odeparms()

Functions to transform and backtransform kinetic parameters for fitting

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ilr() invilr()

Function to perform isometric log-ratio transformation

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tffm0() invtffm0()

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Transform formation fractions as in the first published mkin version

logLik(<mkinfit>)

Calculated the log-likelihood of a fitted mkinfit object

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residuals(<mkinfit>)

Extract residuals from an mkinfit model

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nobs(<mkinfit>)

Number of observations on which an mkinfit object was fitted

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mkinresplot()

Function to plot residuals stored in an mkin object

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mkinparplot()

Function to plot the confidence intervals obtained using mkinfit

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mkinerrplot()

Function to plot squared residuals and the error model for an mkin object

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mean_degparms()

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Calculate mean degradation parameters for an mmkin row object

create_deg_func()

Create degradation functions for known analytical solutions

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Analytical solutions

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Parent only model solutions

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Analytical solutions

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Parent only model solutions

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SFO.solution()

Single First-Order kinetics

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FOMC.solution()

First-Order Multi-Compartment kinetics

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DFOP.solution()

Double First-Order in Parallel kinetics

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SFORB.solution()

Single First-Order Reversible Binding kinetics

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HS.solution()

Hockey-Stick kinetics

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IORE.solution()

Indeterminate order rate equation kinetics

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logistic.solution()

Logistic kinetics

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Generate synthetic datasets

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Generate synthetic datasets

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add_err()

Add normally distributed errors to simulated kinetic degradation data

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sigma_twocomp()

Two-component error model

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Deprecated functions

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Functions that have been superseded

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Deprecated functions

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Functions that have been superseded

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mkinplot()

Plot the observed data and the fitted model of an mkinfit object

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