Deploying to gh-pages from @ 3a23235 🚀

Author: jtimonen

404.html

@@ -186,7 +186,7 @@ fit <- fit_stan(mod, data = pd, method = "optimize", init = 0.1)
 #>      641       -1857.7   0.000175154     0.0595577           1           1      712    
 #> Optimization terminated normally:  
 #>   Convergence detected: relative gradient magnitude is below tolerance 
-#> Finished in  2.7 seconds.
+#> Finished in  2.9 seconds.
 ```
 
 ### Inferred baseline hazards

LICENSE-text.html

@@ -264,7 +264,7 @@ fit_prelim <- fit_stan(mod_true, simdat, method = "optimize", init = 0, iter = 1
 #>      100      -9788.14      0.016727       786.414           1           1      121    
 #> Optimization terminated normally:  
 #>   Maximum number of iterations hit, may not be at an optima 
-#> Finished in  0.6 seconds.
+#> Finished in  0.8 seconds.
 #> If these don't roughly match, consider refitting after setting xpsr normalizer loc and scale closer to estimated mean and sd. Otherwise interpret baseline hazards and xpsr effect size accodingly.
 #>  - xpsr normalization loc = 5.42315, mean estimated xpsr = 5.43736
 #>  - xpsr normalization scale = 0.56671, estimated xpsr sd = 0.70956
@@ -342,7 +342,7 @@ fit_ms_eh <- fit_stan(mod_ms_eh, simdat, method = "optimize", init = 0)
 #>     2000      -7172.23    0.00310466       394.594           1           1     2226    
 #> Optimization terminated normally:  
 #>   Maximum number of iterations hit, may not be at an optima 
-#> Finished in  11.0 seconds.
+#> Finished in  11.2 seconds.
 #> If these don't roughly match, consider refitting after setting xpsr normalizer loc and scale closer to estimated mean and sd. Otherwise interpret baseline hazards and xpsr effect size accodingly.
 #>  - xpsr normalization loc = 5.42315, mean estimated xpsr = 5.51054
 #>  - xpsr normalization scale = 0.56671, estimated xpsr sd = 0.96017

articles/analysis.html

@@ -93,7 +93,7 @@ fit <- fit_stan(mod, simdat,
 #> Chain 1 Iteration: 601 / 800 [ 75%]  (Sampling) 
 #> Chain 1 Iteration: 700 / 800 [ 87%]  (Sampling) 
 #> Chain 1 Iteration: 800 / 800 [100%]  (Sampling) 
-#> Chain 1 finished in 7.4 seconds.
+#> Chain 1 finished in 7.3 seconds.
 ```
 
 ## Sampling diagnostics