From cee9f1e6b27291318867dd6ed6966c8ad3acac6a Mon Sep 17 00:00:00 2001 From: perrydv Date: Wed, 12 Jan 2022 15:30:14 -0800 Subject: [PATCH] Fix vignette formatting detail. Add some DOIs to paper.bib. --- compareMCMCs/doc/compareMCMCs.R | 10 +- compareMCMCs/doc/compareMCMCs.Rmd | 10 +- compareMCMCs/doc/compareMCMCs.html | 102 +++++++++--------- compareMCMCs/doc/example1.html | 4 +- .../doc/example1_efficiencyDetails.jpg | Bin 198544 -> 199525 bytes .../doc/example1_efficiencySummaryAll.jpg | Bin 424651 -> 420293 bytes compareMCMCs/doc/example1_paceSummaryAll.jpg | Bin 405946 -> 428199 bytes .../doc/example1_posteriorSummary.jpg | Bin 165586 -> 154067 bytes compareMCMCs/doc/example2.html | 4 +- .../doc/example2_efficiencyDetails.jpg | Bin 188404 -> 190516 bytes .../doc/example2_efficiencySummaryAll.jpg | Bin 428148 -> 416121 bytes compareMCMCs/doc/example2_paceSummaryAll.jpg | Bin 417066 -> 434817 bytes .../doc/example2_posteriorSummary.jpg | Bin 140847 -> 150468 bytes compareMCMCs/vignettes/.DS_Store | Bin 0 -> 6148 bytes compareMCMCs/vignettes/compareMCMCs.Rmd | 4 +- paper.bib | 2 + 16 files changed, 69 insertions(+), 67 deletions(-) create mode 100644 compareMCMCs/vignettes/.DS_Store diff --git a/compareMCMCs/doc/compareMCMCs.R b/compareMCMCs/doc/compareMCMCs.R index d9f6c78..6756b60 100644 --- a/compareMCMCs/doc/compareMCMCs.R +++ b/compareMCMCs/doc/compareMCMCs.R @@ -102,8 +102,8 @@ res$nimble$metrics MCMCmetric_quartiles <- function(result, options) { p25 <- apply(result$samples, 2, quantile, probs = 0.25) p75 <- apply(result$samples, 2, quantile, probs = 0.75) - ## q25 and q75 are named vectors with names matching model parameters - ## i.e. column names of result$samples + # q25 and q75 are named vectors with names matching model parameters + # i.e. column names of result$samples maxDiff <- max(p75-p25) list(byParameter = list(p25 = p25, p75 = p75), @@ -133,8 +133,8 @@ res <- compareMCMCs(modelInfo, niter = 2000, burnin = 100)) -## We will look at the result using combineMetrics -## rather than generating new html pages. +# We will look at the result using combineMetrics +# rather than generating new html pages. combineMetrics(res) ## ----------------------------------------------------------------------------- @@ -145,7 +145,7 @@ conversions <- list(nimble = reparam, applyConversions(res, conversions) clearMetrics(res) addMetrics(res) # use default metrics -combineMetrics(res) ## An easy way to see that it worked +combineMetrics(res) # An easy way to see that it worked ## ----------------------------------------------------------------------------- combineMetrics(res, include_times = TRUE) diff --git a/compareMCMCs/doc/compareMCMCs.Rmd b/compareMCMCs/doc/compareMCMCs.Rmd index e505e88..ebf3613 100644 --- a/compareMCMCs/doc/compareMCMCs.Rmd +++ b/compareMCMCs/doc/compareMCMCs.Rmd @@ -203,8 +203,8 @@ Let's look at an example of each. Say we want to make a metric that calculates MCMCmetric_quartiles <- function(result, options) { p25 <- apply(result$samples, 2, quantile, probs = 0.25) p75 <- apply(result$samples, 2, quantile, probs = 0.75) - ## q25 and q75 are named vectors with names matching model parameters - ## i.e. column names of result$samples + # q25 and q75 are named vectors with names matching model parameters + # i.e. column names of result$samples maxDiff <- max(p75-p25) list(byParameter = list(p25 = p25, p75 = p75), @@ -254,8 +254,8 @@ res <- compareMCMCs(modelInfo, niter = 2000, burnin = 100)) -## We will look at the result using combineMetrics -## rather than generating new html pages. +# We will look at the result using combineMetrics +# rather than generating new html pages. combineMetrics(res) ``` @@ -273,7 +273,7 @@ conversions <- list(nimble = reparam, applyConversions(res, conversions) clearMetrics(res) addMetrics(res) # use default metrics -combineMetrics(res) ## An easy way to see that it worked +combineMetrics(res) # An easy way to see that it worked ``` ## How to specify conversions diff --git a/compareMCMCs/doc/compareMCMCs.html b/compareMCMCs/doc/compareMCMCs.html index 5950d85..011fa4f 100644 --- a/compareMCMCs/doc/compareMCMCs.html +++ b/compareMCMCs/doc/compareMCMCs.html @@ -248,8 +248,8 @@

An example using nimble, jags, and stan#> #> SAMPLING FOR MODEL 'toy' NOW (CHAIN 1). #> Chain 1: -#> Chain 1: Gradient evaluation took 1.1e-05 seconds -#> Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.11 seconds. +#> Chain 1: Gradient evaluation took 1.2e-05 seconds +#> Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.12 seconds. #> Chain 1: Adjust your expectations accordingly! #> Chain 1: #> Chain 1: @@ -266,11 +266,11 @@

An example using nimble, jags, and stan#> Chain 1: Iteration: 1800 / 2000 [ 90%] (Sampling) #> Chain 1: Iteration: 2000 / 2000 [100%] (Sampling) #> Chain 1: -#> Chain 1: Elapsed Time: 0.004591 seconds (Warm-up) -#> Chain 1: 0.016862 seconds (Sampling) -#> Chain 1: 0.021453 seconds (Total) +#> Chain 1: Elapsed Time: 0.005743 seconds (Warm-up) +#> Chain 1: 0.022742 seconds (Sampling) +#> Chain 1: 0.028485 seconds (Total) #> Chain 1: -#> Warning: There were 27 divergent transitions after warmup. See +#> Warning: There were 81 divergent transitions after warmup. See #> https://mc-stan.org/misc/warnings.html#divergent-transitions-after-warmup #> to find out why this is a problem and how to eliminate them. #> Warning: Examine the pairs() plot to diagnose sampling problems @@ -402,13 +402,13 @@

Writing new comparison metrics.

res$nimble$metrics
 #> $byMCMC
 #>     MCMC min_efficiency mean_efficiency
-#> 1 nimble       280597.6        280597.6
+#> 1 nimble       422434.7        422434.7
 #> 
 #> $byParameter
 #>     MCMC Parameter     mean   median       sd CI95_low CI95_upp      ESS
-#> 1 nimble         a 5.067262 4.881284 2.068834 1.522891 9.338421 841.7927
+#> 1 nimble         a 5.014686 4.994096 1.969456  1.57878 9.236308 844.8694
 #>   efficiency
-#> 1   280597.6
+#> 1   422434.7
 #> 
 #> $other
 #> list()
@@ -428,8 +428,8 @@

Writing new comparison metrics.

MCMCmetric_quartiles <- function(result, options) {
   p25 <- apply(result$samples, 2, quantile, probs = 0.25)
   p75 <- apply(result$samples, 2, quantile, probs = 0.75)
-  ## q25 and q75 are named vectors with names matching model parameters
-  ## i.e. column names of result$samples
+  # q25 and q75 are named vectors with names matching model parameters
+  # i.e. column names of result$samples
   maxDiff <- max(p75-p25)
   list(byParameter = list(p25 = p25,
                           p75 = p75),
@@ -441,13 +441,13 @@ 

Writing new comparison metrics.

res$nimble$metrics #> $byMCMC #> MCMC min_efficiency mean_efficiency maxQuartileDiff -#> 1 nimble 280597.6 280597.6 2.822741 +#> 1 nimble 422434.7 422434.7 2.761439 #> #> $byParameter #> MCMC Parameter mean median sd CI95_low CI95_upp ESS -#> 1 nimble a 5.067262 4.881284 2.068834 1.522891 9.338421 841.7927 -#> efficiency p25 p75 -#> 1 280597.6 3.58852 6.411261 +#> 1 nimble a 5.014686 4.994096 1.969456 1.57878 9.236308 844.8694 +#> efficiency p25 p75 +#> 1 422434.7 3.532035 6.293474 #> #> $other #> list()
@@ -455,7 +455,7 @@

Writing new comparison metrics.

registerMetrics(
   list(quartiles = MCMCmetric_quartiles)
 )
-#> <environment: 0x7fa3b9791e78>
+#> <environment: 0x7f8b37e8cd40>

Now the name “quartiles” can be included in the metrics argument to compareMCMCs or addMetrics, and the registered MCMCmetric_quartiles will be called.

@@ -515,24 +515,24 @@

Example

#> |-------------|-------------|-------------|-------------| #> |-------------------------------------------------------| -## We will look at the result using combineMetrics -## rather than generating new html pages. +# We will look at the result using combineMetrics +# rather than generating new html pages. combineMetrics(res) #> $byParameter #> MCMC Parameter mean median sd CI95_low CI95_upp -#> 1 jags log_a 1.503061 1.560090 0.4697148 0.4750985 2.238628 -#> 2 nimble log_a 1.499958 1.515032 0.4496721 0.5421039 2.245948 -#> 3 nimble_slice log_a 1.513169 1.585252 0.4705338 0.3961511 2.259188 +#> 1 jags log_a 1.525590 1.580649 0.4763938 0.4542833 2.259440 +#> 2 nimble log_a 1.486715 1.543881 0.4830302 0.3649256 2.222224 +#> 3 nimble_slice log_a 1.521313 1.580965 0.4582725 0.4291433 2.257694 #> ESS efficiency -#> 1 1168.1812 233636.2 -#> 2 424.9755 424975.5 -#> 3 1900.0000 633333.3 +#> 1 1328.6882 265737.6 +#> 2 354.9373 354937.3 +#> 3 1752.7338 584244.6 #> #> $byMCMC #> MCMC min_efficiency mean_efficiency -#> 1 jags 233636.2 233636.2 -#> 2 nimble 424975.5 424975.5 -#> 3 nimble_slice 633333.3 633333.3
+#> 1 jags 265737.6 265737.6 +#> 2 nimble 354937.3 354937.3 +#> 3 nimble_slice 584244.6 584244.6

We can see that the parameter is now log_a rather than a. The use of backticks in “log(`a`)” ensures that a is evaluated as a variable and is described more below.

@@ -554,7 +554,7 @@

Converting parameters outside of compareMCMCs

#> MCMC: jags #> metrics: list #> rename: function (newName, oldName) -#> samples: 4.74223554129982 3.7317640144419 3.9980674865426 5.58037 ... +#> samples: 5.42808141611675 5.42254056767437 3.74413820872759 5.192 ... #> sessionInfo: sessionInfo #> setSamples: function (samples) #> times: list @@ -570,7 +570,7 @@

Converting parameters outside of compareMCMCs

#> MCMC: nimble #> metrics: list #> rename: function (newName, oldName) -#> samples: 1.96990878610032 2.16224455959642 2.092071954748 2.09207 ... +#> samples: 6.38883390929906 5.9204039207994 5.9204039207994 5.56185 ... #> sessionInfo: sessionInfo #> setSamples: function (samples) #> times: list @@ -586,28 +586,28 @@

Converting parameters outside of compareMCMCs

#> MCMC: nimble_slice #> metrics: list #> rename: function (newName, oldName) -#> samples: 4.19896489791624 4.77713055480324 5.5108006434986 3.9764 ... +#> samples: 5.02425827759426 5.80248625564195 2.61658947273895 4.114 ... #> sessionInfo: sessionInfo #> setSamples: function (samples) #> times: list clearMetrics(res) addMetrics(res) # use default metrics -combineMetrics(res) ## An easy way to see that it worked +combineMetrics(res) # An easy way to see that it worked #> $byParameter #> MCMC Parameter mean median sd CI95_low CI95_upp ESS -#> 1 jags a 4.947127 4.759248 2.028511 1.608178 9.380531 1088.3564 -#> 2 nimble a 4.923024 4.549567 2.071268 1.719621 9.449368 393.8349 -#> 3 nimble_slice a 5.001556 4.880519 2.042462 1.486173 9.575312 1900.0000 +#> 1 jags a 5.059116 4.858107 2.066547 1.575110 9.577731 1105.1329 +#> 2 nimble a 4.877044 4.682730 1.975005 1.440407 9.227835 357.9114 +#> 3 nimble_slice a 5.029307 4.859644 2.058923 1.535950 9.561025 1613.3942 #> efficiency -#> 1 217671.3 -#> 2 393834.9 -#> 3 633333.3 +#> 1 221026.6 +#> 2 357911.4 +#> 3 537798.1 #> #> $byMCMC #> MCMC min_efficiency mean_efficiency -#> 1 jags 217671.3 217671.3 -#> 2 nimble 393834.9 393834.9 -#> 3 nimble_slice 633333.3 633333.3
+#> 1 jags 221026.6 221026.6 +#> 2 nimble 357911.4 357911.4 +#> 3 nimble_slice 537798.1 537798.1

How to specify conversions

@@ -647,23 +647,23 @@

Format of combined metrics provided to the make function.

combineMetrics(res, include_times = TRUE)
 #> $byParameter
 #>           MCMC Parameter     mean   median       sd CI95_low CI95_upp       ESS
-#> 1         jags         a 4.947127 4.759248 2.028511 1.608178 9.380531 1088.3564
-#> 2       nimble         a 4.923024 4.549567 2.071268 1.719621 9.449368  393.8349
-#> 3 nimble_slice         a 5.001556 4.880519 2.042462 1.486173 9.575312 1900.0000
+#> 1         jags         a 5.059116 4.858107 2.066547 1.575110 9.577731 1105.1329
+#> 2       nimble         a 4.877044 4.682730 1.975005 1.440407 9.227835  357.9114
+#> 3 nimble_slice         a 5.029307 4.859644 2.058923 1.535950 9.561025 1613.3942
 #>   efficiency
-#> 1   217671.3
-#> 2   393834.9
-#> 3   633333.3
+#> 1   221026.6
+#> 2   357911.4
+#> 3   537798.1
 #> 
 #> $byMCMC
 #>           MCMC min_efficiency mean_efficiency
-#> 1         jags       217671.3        217671.3
-#> 2       nimble       393834.9        393834.9
-#> 3 nimble_slice       633333.3        633333.3
+#> 1         jags       221026.6        221026.6
+#> 2       nimble       357911.4        357911.4
+#> 3 nimble_slice       537798.1        537798.1
 #> 
 #> $times
 #>               burnin post-burnin total sampling
-#> jags         0.00100     0.00400          0.005
+#> jags         0.00000     0.00500          0.005
 #> nimble       0.00005     0.00095          0.001
 #> nimble_slice 0.00015     0.00285          0.003
@@ -678,7 +678,7 @@

Using a new page component

linkText = "My new page component.") ) ) -#> <environment: 0x7fa3b97b3030> +#> <environment: 0x7f8b37eafef8>

Then the name “myNewComponent” can be included in the character vector argument pageComponents to make_MCMC_comparison_pages.

diff --git a/compareMCMCs/doc/example1.html b/compareMCMCs/doc/example1.html index ac67e2d..0823b74 100644 --- a/compareMCMCs/doc/example1.html +++ b/compareMCMCs/doc/example1.html @@ -12,11 +12,11 @@

example1

MCMC efficiency details
Posterior summaries

MCMC sampling time

- + - +
MCMC burnin post-burnin total sampling
jags 0.00 0.01 0.01
stan 0.00 0.07 0.07
stan 0.01 0.07 0.08
nimble 0.00 0.00 0.00
nimble_slice 0.00 0.00 0.00
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example2

MCMC efficiency details
Posterior summaries

MCMC sampling time

- + - +
MCMC burnin post-burnin total sampling
jags 0.00 0.00 0.00
jags 0.00 0.00 0.01
nimble 0.00 0.00 0.00
nimble_slice 0.00 0.01 0.01
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