Hi I’ve installed “greta” successfully and also configured “reticulate” to recognize the conda environment I created using the different instructions provided on the forum. Installing greta on Windows 10
I was testing the Iris example, shown on the “greta” website and I run into the following error:
# “iris” is a dataset that comes with every installation of Base R data(iris) # data – in this step we are identifying the Independent (x) and the Dependent (y) variables # the as_data() function converts variable(s) into “greta” arrays that can be read in by functions within #“greta” library x <- as_data(iris$Petal.Length) y <- as_data(iris$Sepal.Length) # setting the model variables and the priors for each model component # int = intercept; coef = beta coefficient; sd = standard deviation (note “sd” declaration has a truncation # = c(0, Inf) – recognizing the fact that standard deviation & variance CANNOT be NEGATIVE int <- normal(0, 1) coef <- normal(0, 3) sd <- student(3, 0, 1, truncation = c(0, Inf)) # operations to calculate the “predicted mean” of the Dependent variable (y = Sepal.Length) mean <- int + coef*x
The last command
mean <- int +coef*x errors out with the following message:
Error: Object cannot be coerced to <greta_array> Objects of class <character> cannot be coerced to a <greta_array>
Can anyone help?