add the vignette route_of_administration

levenc · Jul 28, 2024 · 302ab75 · 302ab75
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diff --git a/NEWS.md b/NEWS.md
@@ -5,6 +5,7 @@
 
 ## Documentation
 * The README illustrates a simple example of dose adaptation
+* `vignette("route_of_administration")` shows how to select a route of administration for optimal dosing
 
 # posologyr v1.2.4
 

diff --git a/README.Rmd b/README.Rmd
@@ -35,7 +35,7 @@ therapeutic drug monitoring, or TDM) and a population pharmacokinetic model, `po
 
 Individual pharmacokinetic (PK) profiles can be estimated with or without data from therapeutic drug monitoring (TDM):
 
-+ `poso_estim_map()` computes the Maximum A Posteriori Bayesian Estimates(MAP-BE) of the individual PK parameters from the results of TDM
++ `poso_estim_map()` computes the Maximum A Posteriori Bayesian Estimates (MAP-BE) of the individual PK parameters from the results of TDM
 + `poso_simu_pop()` samples from the the a priori distributions of PK parameters
 
 `posologyr` takes advantage of the simulation framework provided by the
@@ -139,25 +139,25 @@ We will optimize the gentamicin dosage for this patient to meet two criteria:
 + A peak concentration of 35 mg/L, 30 minutes after a 30-minute infusion.
 + A trough concentration of less than 0.5 mg/L.
 
-The time required to reach a residual concentration of 0.5 mg/L can be estimated as follows
+The time required to reach a residual concentration of 0.5 mg/L can be estimated as follows:
 
 ```{r}
 poso_time_cmin(patient_data,mod_gentamicin_Xuan2003,tdm=TRUE,
                target_cmin = 0.5)
 ```
 
-The dose required to achieve our target concentration can then be determined for an infusion at H48
+The dose required to achieve our target concentration can then be determined for an infusion at H48.
 
 ```{r}
 poso_dose_conc(patient_data,mod_gentamicin_Xuan2003,tdm=TRUE,
                target_conc = 35,time_dose = 48,time_c = 49)
 ```
 
-In conclusion, to meet our 2 criteria, a dose of 760 mg 48 h after the first injection would be appropriate.
+In conclusion a dose of 760 mg 48 h after the first injection would be appropriate to meet our 2 criteria.
 
 More examples can be found at: https://levenc.github.io/posologyr/
 
-## Performance of the MAP-EBE algorithm in posologyr
+## Performance of the MAP-BE algorithm in posologyr
 `posologyr` showed comparable performance to NONMEM MAP estimation with option `MAXEVAL=0`:
 
 * Pharmaceutics **2022**, 14(2), 442; [doi:10.3390/pharmaceutics14020442](https://doi.org/10.3390/pharmaceutics14020442)

diff --git a/README.md b/README.md
@@ -34,7 +34,7 @@ Individual pharmacokinetic (PK) profiles can be estimated with or
 without data from therapeutic drug monitoring (TDM):
 
 - `poso_estim_map()` computes the Maximum A Posteriori Bayesian
-  Estimates(MAP-BE) of the individual PK parameters from the results of
+  Estimates (MAP-BE) of the individual PK parameters from the results of
   TDM
 - `poso_simu_pop()` samples from the the a priori distributions of PK
   parameters
@@ -150,7 +150,7 @@ criteria:
 - A trough concentration of less than 0.5 mg/L.
 
 The time required to reach a residual concentration of 0.5 mg/L can be
-estimated as follows
+estimated as follows:
 
 ``` r
 poso_time_cmin(patient_data,mod_gentamicin_Xuan2003,tdm=TRUE,
@@ -172,7 +172,7 @@ poso_time_cmin(patient_data,mod_gentamicin_Xuan2003,tdm=TRUE,
 ```
 
 The dose required to achieve our target concentration can then be
-determined for an infusion at H48
+determined for an infusion at H48.
 
 ``` r
 poso_dose_conc(patient_data,mod_gentamicin_Xuan2003,tdm=TRUE,
@@ -193,12 +193,12 @@ poso_dose_conc(patient_data,mod_gentamicin_Xuan2003,tdm=TRUE,
 #> 3 0.08904752 -0.04838936   38 63
 ```
 
-In conclusion, to meet our 2 criteria, a dose of 760 mg 48 h after the
-first injection would be appropriate.
+In conclusion a dose of 760 mg 48 h after the first injection would be
+appropriate to meet our 2 criteria.
 
 More examples can be found at: <https://levenc.github.io/posologyr/>
 
-## Performance of the MAP-EBE algorithm in posologyr
+## Performance of the MAP-BE algorithm in posologyr
 
 `posologyr` showed comparable performance to NONMEM MAP estimation with
 option `MAXEVAL=0`:

diff --git a/docs/404.html b/docs/404.html
diff --git a/docs/LICENSE.html b/docs/LICENSE.html
diff --git a/docs/articles/a_posteriori_dosing.html b/docs/articles/a_posteriori_dosing.html
diff --git a/docs/articles/a_priori_dosing.html b/docs/articles/a_priori_dosing.html
diff --git a/docs/articles/auc_based_dosing.html b/docs/articles/auc_based_dosing.html
diff --git a/docs/articles/index.html b/docs/articles/index.html
diff --git a/docs/articles/multiple_endpoints.html b/docs/articles/multiple_endpoints.html
diff --git a/docs/articles/patient_data_input.html b/docs/articles/patient_data_input.html
diff --git a/docs/articles/posologyr_user_defined_models.html b/docs/articles/posologyr_user_defined_models.html