REl 0.1.1 - Minor typos.

Author: goedman

Project.toml

@@ -1,7 +1,7 @@
 name = "ParetoSmoothedImportanceSampling"
 uuid = "98f080ec-61e2-11eb-1c7b-31ea1097256f"
 authors = ["@alvaro1101, Rob J Goedman <goedman@icloud.com"]
-version = "0.1.0"
+version = "0.1.1"
 
 [deps]
 CSV = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b"

src/psislw.jl

@@ -6,7 +6,7 @@ using Statistics
 Compute the Pareto smoothed importance sampling (PSIS).
 
 # Arguments
-* `lw::Union{AbstractArray, Mamba.Chains}`: Array of size n x m containing m sets of n log weights. It is also possible to provide one dimensional array of length n.
+* `lw::AbstractArray`: Array of size n x m containing m sets of n log weights. It is also possible to provide one dimensional array of length n.
 * `wcpp::Real`: Percentage of samples used for GPD fit estimate (default is 20).
 * `wtrunc::Float64`: Positive parameter for truncating very large weights to n^wtrunc. Providing False or 0 disables truncation. Default values is 3/4.
 

src/waic.jl

@@ -24,7 +24,7 @@ function waic( ll::AbstractArray; pointwise=false , log_lik="log_lik" , kwargs..
     try 
         se = sqrt( n_obs*var2(waic_vec) )
     catch e
-        prinrln(e)
+        println(e)
         se = nothing
     end