Learnr module 5 ready for 2025-2026

Author: phgrosjean

DESCRIPTION

@@ -1,5 +1,5 @@
 Package: BioDataScience2
-Version: 2025.4.0
+Version: 2025.5.0
 Title: A Series of Learnr Documents for Biological Data Science 2
 Description: Interactive documents using learnr for studying biological data science (second course).
 Authors@R: c(

NEWS.md

@@ -1,3 +1,7 @@
+# BioDataScience2 2025.5.0
+
+-   Learnr **B05La_nls**, revised for 2025-2026.
+
 # BioDataScience2 2025.4.0
 
 -   Learnr **B04La_glm**, revised for 2025-2026.

inst/tutorials/B05La_nls/B05La_nls.Rmd.inactivated renamed to inst/tutorials/B05La_nls/B05La_nls.Rmd

@@ -14,6 +14,37 @@ runtime: shiny_prerendered
 ```{r setup, include=FALSE}
 BioDataScience2::learnr_setup()
 SciViews::R("model", lang = "fr")
+# Required for RSConnect
+# SciViews::R
+library(rlang)
+library(data.table)
+library(ggplot2)
+library(tibble)
+library(tidyr)
+library(dplyr)
+library(dtplyr)
+library(broom)
+library(forcats)
+library(collapse)
+library(fs)
+library(data.trame)
+library(svFast)
+library(svTidy)
+library(svMisc)
+library(svBase)
+library(svFlow)
+library(data.io)
+library(chart)
+library(tabularise)
+library(SciViews)
+# ... more
+library(readxl)
+library(testthat)
+library(equatags)
+# 'model' and 'infer' packages
+library(modelit)
+library(distributional)
+library(inferit)
 
 set.seed(42)
 tumor <- dtx(
@@ -45,7 +76,7 @@ BioDataScience2::learnr_server(input, output, session)
 
 ## Croissance exponentielle
 
-Réalisez une régression non linéaire sur le jeu de données `df1` de la variable `y` en fonction de la variable `t`.
+Ajustez une régression non linéaire sur le jeu de données `df1` de la variable `y` en fonction de la variable `t`.
 
 ```{r expo_init}
 exponent <- function(x, y0, k) y0 * exp(k * x)