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. |