Closed pwinskill closed 4 years ago
With infinitie bound specified for parameter, and no initial conditions specified error thrown during fitting.
E.G. running the intro vignette without initial conditions:
df_params <- data.frame(name = c("mu", "sigma"), min = c(-10, 0), max = c(10, Inf))
throws the error: Error in lm.fit(x, y, offset = offset, singular.ok = singular.ok, ...) : 0 (non-NA) cases
Error in lm.fit(x, y, offset = offset, singular.ok = singular.ok, ...) : 0 (non-NA) cases
with traceback:
7: stop("0 (non-NA) cases") 6: lm.fit(x, y, offset = offset, singular.ok = singular.ok, ...) 5: lm(x[, i] ~ z) 4: spectrum0.ar(x) 3: FUN(newX[, i], ...) 2: apply(all_chains, 2, coda::effectiveSize) 1: run_mcmc(data = x, df_params = df_params, loglike = r_loglike, logprior = r_logprior, chains = 1, burnin = 1000, samples = 1000)
With infinitie bound specified for parameter, and no initial conditions specified error thrown during fitting.
E.G. running the intro vignette without initial conditions:
throws the error:
Error in lm.fit(x, y, offset = offset, singular.ok = singular.ok, ...) : 0 (non-NA) cases
with traceback: