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articles/compare-experiments.html

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articles/compare-experiments.md

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@@ -28,20 +28,7 @@ We will start by loading the relevant packages.
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``` r
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library(tidyverse)
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#> ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
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#> ✔ dplyr 1.2.0 ✔ readr 2.2.0
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#> ✔ forcats 1.0.1 ✔ stringr 1.6.0
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#> ✔ ggplot2 4.0.2 ✔ tibble 3.3.1
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#> ✔ lubridate 1.9.5 ✔ tidyr 1.3.2
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#> ✔ purrr 1.2.1
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#> ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
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#> ✖ dplyr::filter() masks stats::filter()
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#> ✖ dplyr::lag() masks stats::lag()
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#> ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors
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library(tinyvamp)
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#> Loading required package: cir
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#> Loading required package: numDeriv
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#> Loading required package: parallel
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```
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Now let’s load the relevant data and inspect it. This dataset contains
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verbose = TRUE)
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#> Evaluating criterion...
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#> Calculating step direction...
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#> Critical value is 59488.6958740501
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#> Critical value is 59488.6958739971
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#> Sum of squared gradients is 20759219.2187245
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#> Calculating step direction...
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#> Critical value is 2714.37060241748
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#> Critical value is 2714.37060242656
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#> Sum of squared gradients is 1537213.03209716
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#> Calculating step direction...
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#> Critical value is 962.779632378656
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#> Sum of squared gradients is 49019.0031205385
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#> Critical value is 962.779632393281
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#> Sum of squared gradients is 49019.0031205343
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#> Calculating step direction...
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#> Critical value is 518.440570955525
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#> Sum of squared gradients is 1170.93895450318
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#> Critical value is 518.44057093839
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#> Sum of squared gradients is 1170.93895449115
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#> Calculating step direction...
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#> Critical value is 439.547588578626
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#> Sum of squared gradients is 334.451820838303
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#> Critical value is 439.54758854844
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#> Sum of squared gradients is 334.451820833091
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#> Fit barrier sub-problem with t = 1.
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#> Calculating step direction...
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#> Critical value is 404.262618865981
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#> Sum of squared gradients is 63.8567779339158
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#> Critical value is 404.262618865894
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#> Sum of squared gradients is 63.8567779345351
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#> Fit barrier sub-problem with t = 10.
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#> Calculating step direction...
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#> Critical value is 398.535007077449
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#> Sum of squared gradients is 5.30566317182699
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#> Critical value is 398.535007137036
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#> Sum of squared gradients is 5.30566317153999
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#> Fit barrier sub-problem with t = 100.
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#> Calculating step direction...
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#> Critical value is 397.933004080956
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#> Sum of squared gradients is 0.964654574328363
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#> Sum of squared gradients is 0.964654574961485
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#> Fit barrier sub-problem with t = 1000.
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#> Calculating step direction...
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#> Critical value is 397.903481699148
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#> Sum of squared gradients is 0.130878832620995
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#> Sum of squared gradients is 0.130878832614764
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#> Fit barrier sub-problem with t = 10000.
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#> Calculating step direction...
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#> Critical value is 397.901192595268
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#> Sum of squared gradients is 0.00282837980326623
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#> Critical value is 397.901192550565
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#> Sum of squared gradients is 0.00282837980295736
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#> Fit barrier sub-problem with t = 1e+05.
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#> Calculating step direction...
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#> Critical value is 397.90096349744
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#> Sum of squared gradients is 1.83712763217375e-05
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#> Sum of squared gradients is 1.83612109646989e-05
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#> Fit barrier sub-problem with t = 1e+06.
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#> Calculating step direction...
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#> Critical value is 397.90094058058
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#> Sum of squared gradients is 2.00871616169818e-06
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#> Sum of squared gradients is 2.00871611789907e-06
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#> Fit barrier sub-problem with t = 1e+07.
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#> Calculating step direction...
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#> Critical value is 397.900938584682
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#> Sum of squared gradients is 1.21879871093009e-06
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#> Sum of squared gradients is 1.21879871226826e-06
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#> Fit barrier sub-problem with t = 1e+08.
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#> Calculating step direction...
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#> Critical value is 397.900937789791
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#> Sum of squared gradients is 1.08520367728683e-06
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#> Critical value is 397.900937759988
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#> Sum of squared gradients is 1.08520367768346e-06
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#> Fit barrier sub-problem with t = 1e+09.
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#> Calculating step direction...
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#> Critical value is 397.900937766926
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#> Sum of squared gradients is 9.37277655574636e-07
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#> Critical value is 397.900937737123
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#> Sum of squared gradients is 9.6773994367296e-07
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#> Fit barrier sub-problem with t = 1e+10.
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#> Calculating step direction...
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#> Critical value is 397.900937764639
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#> Sum of squared gradients is 9.37278815971218e-07
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#> Critical value is 397.900937734837
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#> Sum of squared gradients is 9.67741313499729e-07
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#> Fit barrier sub-problem with t = 1e+11.
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#> Calculating step direction...
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#> Critical value is 397.900937764411
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#> Sum of squared gradients is 9.37278933831892e-07
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#> Critical value is 397.900937734608
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#> Sum of squared gradients is 9.67741452245802e-07
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#> Fit barrier sub-problem with t = 1e+12.
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#
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# full_cis <- bootstrap_ci(W,

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