| blq_log_trans | A transform for ggplot2 with data that may be below the lower limit of quantification |
| blq_trans | A transform for ggplot2 with data that may be below the lower limit of quantification |
| breaks_blq_general | Generate breaks for measurements below the limit of quantification |
| calc_derived | Calculate derived pharmacokinetic parameters for a 1-, 2-, or 3-compartment linear model. |
| calc_derived_1cpt | Calculate derived pharmacokinetic parameters for a 1-, 2-, or 3-compartment linear model. |
| calc_derived_2cpt | Calculate derived pharmacokinetic parameters for a 1-, 2-, or 3-compartment linear model. |
| calc_derived_3cpt | Calculate derived pharmacokinetic parameters for a 1-, 2-, or 3-compartment linear model. |
| calc_sd_1cmt | Calculate C(t) for a 1-compartment linear model |
| calc_sd_1cmt_linear_bolus | Calculate C(t) for a 1-compartment linear model |
| calc_sd_1cmt_linear_infusion | Calculate C(t) for a 1-compartment linear model |
| calc_sd_1cmt_linear_oral_0 | Calculate C(t) for a 1-compartment linear model |
| calc_sd_1cmt_linear_oral_0_lag | Calculate C(t) for a 1-compartment linear model |
| calc_sd_1cmt_linear_oral_1 | Calculate C(t) for a 1-compartment linear model |
| calc_sd_1cmt_linear_oral_1_lag | Calculate C(t) for a 1-compartment linear model |
| calc_sd_2cmt | Calculate C(t) for a 2-compartment linear model |
| calc_sd_2cmt_linear_bolus | Calculate C(t) for a 2-compartment linear model |
| calc_sd_2cmt_linear_infusion | Calculate C(t) for a 2-compartment linear model |
| calc_sd_2cmt_linear_oral_0 | Calculate C(t) for a 2-compartment linear model |
| calc_sd_2cmt_linear_oral_0_lag | Calculate C(t) for a 2-compartment linear model |
| calc_sd_2cmt_linear_oral_1 | Calculate C(t) for a 2-compartment linear model |
| calc_sd_2cmt_linear_oral_1_lag | Calculate C(t) for a 2-compartment linear model |
| calc_sd_3cmt | Calculate C(t) for a 3-compartment linear model |
| calc_sd_3cmt_linear_bolus | Calculate C(t) for a 3-compartment linear model |
| calc_sd_3cmt_linear_infusion | Calculate C(t) for a 3-compartment linear model |
| calc_sd_3cmt_linear_oral_0 | Calculate C(t) for a 3-compartment linear model |
| calc_sd_3cmt_linear_oral_0_lag | Calculate C(t) for a 3-compartment linear model |
| calc_sd_3cmt_linear_oral_1 | Calculate C(t) for a 3-compartment linear model |
| calc_sd_3cmt_linear_oral_1_lag | 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_1cmt_linear_bolus | Calculate C(t) for a 1-compartment linear model at steady-state |
| calc_ss_1cmt_linear_infusion | Calculate C(t) for a 1-compartment linear model at steady-state |
| calc_ss_1cmt_linear_oral_0 | Calculate C(t) for a 1-compartment linear model at steady-state |
| calc_ss_1cmt_linear_oral_0_lag | Calculate C(t) for a 1-compartment linear model at steady-state |
| calc_ss_1cmt_linear_oral_1 | Calculate C(t) for a 1-compartment linear model at steady-state |
| calc_ss_1cmt_linear_oral_1_lag | 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_2cmt_linear_bolus | Calculate C(t) for a 2-compartment linear model at steady-state |
| calc_ss_2cmt_linear_infusion | Calculate C(t) for a 2-compartment linear model at steady-state |
| calc_ss_2cmt_linear_oral_0 | Calculate C(t) for a 2-compartment linear model at steady-state |
| calc_ss_2cmt_linear_oral_0_lag | Calculate C(t) for a 2-compartment linear model at steady-state |
| calc_ss_2cmt_linear_oral_1 | Calculate C(t) for a 2-compartment linear model at steady-state |
| calc_ss_2cmt_linear_oral_1_lag | 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 |
| calc_ss_3cmt_linear_bolus | Calculate C(t) for a 3-compartment linear model at steady-state |
| calc_ss_3cmt_linear_infusion | Calculate C(t) for a 3-compartment linear model at steady-state |
| calc_ss_3cmt_linear_oral_0 | Calculate C(t) for a 3-compartment linear model at steady-state |
| calc_ss_3cmt_linear_oral_0_lag | Calculate C(t) for a 3-compartment linear model at steady-state |
| calc_ss_3cmt_linear_oral_1 | Calculate C(t) for a 3-compartment linear model at steady-state |
| calc_ss_3cmt_linear_oral_1_lag | 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 dataset suitable for tabulation in a report. |
| 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 trailing zeroes. |
| ftrans_blq_linear | Forward transformation for linear BLQ data |
| ftrans_blq_log | Forward transformation for linear BLQ data |
| gcv | Calculate a geometric coefficient of variation. |
| gcv_convert | Convert geometric variance or standard deviation to a geometric coefficient of variation |
| get_auc | Calculate the area under the curve (AUC) for each subject over the time interval for dependent variables ('dv') using the trapezoidal rule. |
| get_est_table | Create a table of model parameter estimates from a NONMEM output object. |
| 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 object. |
| get_theta | Extract structural model parameter estimates and associated information from a NONMEM output object. |
| gm | Calculate geometric mean |
| itrans_blq_linear | Inverse transformation for linear BLQ data |
| itrans_blq_log | 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 jittered points. |
| 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_nmcov | Read in the NONMEM variance-covariance matrix. |
| read_nmext | Read NONMEM output into a list. |
| read_nmtables | Reads NONMEM output tables. |
| 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_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 variance-covariance matrix to generate new sets of simulated ETAs from NONMEM output. |
| sample_sigma | Sample from the multivariate normal distribution using the SIGMA variance-covariance matrix to generate new sets of simulated EPSILONs from NONMEM output. |
| sample_uncert | Sample from the multivariate normal distribution to generate new sets of parameters from NONMEM output. |
| table_rtf | Read NONMEM output into a list. |