fix #286: stan_glm output not duplicated

[rempsyc]

fix #286: output not duplicated

devtools::load_all("c:/github/report")
library(rstanarm)
x <- stan_glm(mpg ~ qsec + wt, data = mtcars, refresh = 0, iter = 500)
report(x)

#> We fitted a Bayesian linear model (estimated using MCMC sampling with 4 chains
#> of 500 iterations and a warmup of 250) to predict mpg with qsec and wt
#> (formula: mpg ~ qsec + wt). Priors over parameters were all set as normal (mean
#> = 0.00, SD = 8.43; mean = 0.00, SD = 15.40) distributions. The model's
#> explanatory power is substantial (R2 = 0.81, 95% CI [0.69, 0.88], adj. R2 =
#> 0.79). The model's intercept, corresponding to qsec = 0 and wt = 0, is at 19.56
#> (95% CI [8.34, 31.33]). Within this model:
#> 
#>   - The effect of qsec (Median = 0.94, 95% CI [0.35, 1.52]) has a 99.90%
#> probability of being positive (> 0), 98.20% of being significant (> 0.30), and
#> 0.20% of being large (> 1.81). The estimation successfully converged (Rhat =
#> 1.002) but the indices are unreliable (ESS = 867)
#>   - The effect of wt (Median = -5.04, 95% CI [-6.01, -4.11]) has a 100.00%
#> probability of being negative (< 0), 100.00% of being significant (< -0.30),
#> and 100.00% of being large (< -1.81). The estimation successfully converged
#> (Rhat = 1.004) but the indices are unreliable (ESS = 992)
#> 
#> Following the Sequential Effect eXistence and sIgnificance Testing (SEXIT)
#> framework, we report the median of the posterior distribution and its 95% CI
#> (Highest Density Interval), along the probability of direction (pd), the
#> probability of significance and the probability of being large. The thresholds
#> beyond which the effect is considered as significant (i.e., non-negligible) and
#> large are |0.30| and |1.81| (corresponding respectively to 0.05 and 0.30 of the
#> outcome's SD). Convergence and stability of the Bayesian sampling has been
#> assessed using R-hat, which should be below 1.01 (Vehtari et al., 2019), and
#> Effective Sample Size (ESS), which should be greater than 1000 (Burkner, 2017).

[IndrajeetPatil]

LGTM

[rempsyc]

Some checks are failing because of pak errors. Merging now will probably do the same until those resolve.