changes some basic stuff

examples/Rceattle_install_run_w_projections.R

@@ -69,7 +69,7 @@ ms_run <- Rceattle::fit_mod(data_list = BS2017MS,
                             random_rec = FALSE, # No random recruitment
                             msmMode = 1, # MSVPA based
                             suitMode = 0, # empirical suitability
-                            silent = FALSE)
+                            silent = TRUE)
 
 # We can plot both runs as well:
 mod_list <- list(ss_run, ms_run)

examples/Rceattle_install_source.R

@@ -1,11 +1,25 @@
 # Steps to install Rceattle from the source file
+# Grant D. Adams [email protected]
 
-# Step 1 - Download Rceattle_0.0.0.9000.tar.gz from:
+# Step 1 - install compilers
+# Windows install rtools: https://cran.r-project.org/bin/windows/Rtools/
+# Mac install clang and gfortran https://cran.r-project.org/bin/macosx/tools/
+# Macs will also need to update makevars file
+
+# Step 2 - Install TMB
+# Instructions can be found here for non-pc: https://github.com/kaskr/adcomp/wiki/Download
+install.packages('TMB', type = 'source')
+# Try "TMB::runExample(all = TRUE)" to see if TMB works
+
+# Step 3 - Install dependencies
+install.packages(c("TMB", "testthat", "reshape2", "oce", "plyr", "readxl", "writexl", "tidyr"))
+
+# Step 4 - Download Rceattle_0.0.0.9000.tar.gz file from:
 # https://drive.google.com/drive/folders/1sHe_KxvKZi7UyjnWB4Oz9HmKY6CWGWoM
 
-# Step 2 - set "file_directory" to the directory where the download is
+# Step 5 - set "file_directory" to the directory where the download is
 file_directory <- "your_download_directory"
 path_to_file <- paste(file_directory, "/", "Rceattle_0.0.0.9000.tar.gz", sep = "")
 
-# Step 3 - Install
+# Step 6 - Install Rceattle from source
 install.packages(path_to_file, repos = NULL, type="source", dependencies = TRUE)