add precompile statements

Project.toml

@@ -8,6 +8,7 @@ CSV = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b"
 DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
 Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
 LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
+PrecompileTools = "aea7be01-6a6a-4083-8856-8a6e6704d82a"
 RateTables = "d40fb65e-c2ee-4113-9e14-cb96ca0acb32"
 StatsAPI = "82ae8749-77ed-4fe6-ae5f-f523153014b0"
 StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
@@ -19,8 +20,8 @@ CSV = "0.10"
 DataFrames = "1"
 Distributions = "0.25"
 LinearAlgebra = "1.6"
-RateTables = "0.1"
 RCall = "0.14"
+RateTables = "0.1"
 StatsAPI = "1"
 StatsBase = "0.34"
 StatsModels = "0.7"

src/NetSurvival.jl

@@ -1,5 +1,5 @@
 module NetSurvival
-
+using PrecompileTools: @setup_workload, @compile_workload    # this is a small dependency
 using DataFrames
 using Distributions
 using LinearAlgebra
@@ -32,4 +32,17 @@ export Surv, Strata
 export colrec
 export @formula
 
+@setup_workload begin
+    # Putting some things in `@setup_workload` instead of `@compile_workload` can reduce the size of the
+    # precompile file and potentially make loading faster.
+    @compile_workload begin
+        fit(PoharPerme, @formula(Surv(time,status)~1), colrec, slopop)
+        fit(PoharPerme, @formula(Surv(time,status)~sex), colrec, slopop)
+        fit(GraffeoTest, @formula(Surv(time,status)~sex), colrec, slopop)
+        fit(GraffeoTest, @formula(Surv(time,status)~sex+Strata(stage)), colrec, slopop)
+        fit(CrudeMortality, @formula(Surv(time,status)~1), colrec, slopop)
+    end
+end
+
+
 end