R
You can install the sarla
package from Github. You will need to install the CmdStanR
package first using these instructions. The main branch right now works with a full matrix of data while we are adding support for missing data on the missingdata
branch.
remotes::install_github("WGGRAFY/sarla")
require(sarla)
You can test with simulated data using the following code. Full code is in inst
#simulate data
dat <- sarla_sim(
Nages = 7, Nyears = 22, sigma_o = 0.2, beta = 0.7,
gamma_y_sd = 0.2, delta_c_sd = 0, eta_c_sd = 0.2, sigma_p_X0 = 0
)
#create the dat model input object
stan_dat <- plot_and_fill_data(dat)
#Fit the model
fit <- fit_sarla(stan_dat,
chains = 1,
iter = 100
)
The fit_sarla
function accepts any arguments that can be passed to sample
. Documentation for sample
here.
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