pmxTools1.3 package

Pharmacometric and Pharmacokinetic Toolkit

blq_trans

A transform for ggplot2 with data that may be below the lower limit of...

breaks_blq_general

Generate breaks for measurements below the limit of quantification

calc_derived

Calculate derived pharmacokinetic parameters for a 1-, 2-, or 3-compar...

calc_sd_1cmt

Calculate C(t) for a 1-compartment linear model

calc_sd_2cmt

Calculate C(t) for a 2-compartment linear model

calc_sd_3cmt

Calculate C(t) for a 3-compartment linear model

calc_ss_1cmt

Calculate C(t) for a 1-compartment linear model at steady-state

calc_ss_2cmt

Calculate C(t) for a 2-compartment linear model at steady-state

calc_ss_3cmt

Calculate C(t) for a 3-compartment linear model at steady-state

count_na

Count the number of NA values in a vector.

dgr_table

Generate a summary table of descriptive data for every individual in a...

estimate_lloq

Estimate the lower limit of quantification (LLOQ) from a vector

fmt_signif

Format a number with the correct number of significant digits and trai...

ftrans_blq_linear

Forward transformation for linear BLQ data

gcv

Calculate a geometric coefficient of variation.

gcv_convert

Convert geometric variance or standard deviation to a geometric coeffi...

get_auc

Calculate the area under the curve (AUC) for each subject over the tim...

get_est_table

Create a table of model parameter estimates from a NONMEM output objec...

get_omega

Extract variability parameter estimates from a NONMEM output object.

get_probinfo

Extract problem and estimation information from a NONMEM output object...

get_shrinkage

Extract shrinkage estimates from a NONMEM output object.

get_sigma

Extract residual variability parameter estimates from a NONMEM output ...

get_theta

Extract structural model parameter estimates and associated informatio...

gm

Calculate geometric mean

itrans_blq_linear

Inverse transformation for linear BLQ data

label_blq

Label axes with censoring labels for BLQ

pcv

Calculate percentage coefficient of variation

pk_curve

Provide concentration-time curves.

plot_dist

Plot a distribution as a hybrid containing a halfeye, a boxplot and ji...

plot_nmprogress

Plot NONMEM parameter estimation by iteration.

plot_scm

Visualize PsN SCM output.

read_nm

Read NONMEM 7.2+ output into a list of lists.

read_nm_all

Read all NONMEM files for a single NONMEM run.

read_nm_multi_table

Read (single or) multiple NONMEM tables from a single file

read_nm_std_ext

Read a standard NONMEM extension file

read_nmcov

Read in the NONMEM variance-covariance matrix.

read_nmext

Read NONMEM output into a list.

read_nmtables

Reads NONMEM output tables.

read_scm

Read PsN SCM output into a format suitable for further use.

rnm

Read NONMEM 7.2+ output into an R object.

sample_omega

Sample from the multivariate normal distribution using the OMEGA varia...

sample_sigma

Sample from the multivariate normal distribution using the SIGMA varia...

sample_uncert

Sample from the multivariate normal distribution to generate new sets ...

table_rtf

Read NONMEM output into a list.

Pharmacometric tools for common data analytical tasks; closed-form solutions for calculating concentrations at given times after dosing based on compartmental PK models (1-compartment, 2-compartment and 3-compartment, covering infusions, zero- and first-order absorption, and lag times, after single doses and at steady state, per Bertrand & Mentre (2008) <http://lixoft.com/wp-content/uploads/2016/03/PKPDlibrary.pdf>); parametric simulation from NONMEM-generated parameter estimates and other output; and parsing, tabulating and plotting results generated by Perl-speaks-NONMEM (PsN).

  • Maintainer: Justin Wilkins
  • License: GPL-2
  • Last published: 2023-02-21