diff --git a/articles/Unico-Tutorial.html b/articles/Unico-Tutorial.html
index 4a40a02..7451311 100644
--- a/articles/Unico-Tutorial.html
+++ b/articles/Unico-Tutorial.html
@@ -88,10 +88,17 @@ <h1 data-toc-skip>Unico-Tutorial</h1>
 
     
     
+<div class="section level2">
+<h2 id="load-the-unico-package-and">Load the Unico package and<a class="anchor" aria-label="anchor" href="#load-the-unico-package-and"></a>
+</h2>
 <div class="sourceCode" id="cb1"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://cozygene.github.io/Unico/" class="external-link">Unico</a></span><span class="op">)</span></span>
 <span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://github.com/HenrikBengtsson/matrixStats" class="external-link">matrixStats</a></span><span class="op">)</span></span>
+<span></span>
+<span><span class="co">#For visualization in this vignette</span></span>
+<span><span class="fu"><a href="https://rdrr.io/r/utils/install.packages.html" class="external-link">install.packages</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"ggplot2"</span>,<span class="st">"ggpubr"</span>,<span class="st">"hexbin"</span><span class="op">)</span><span class="op">)</span></span>
 <span><span class="kw"><a href="https://rdrr.io/r/base/source.html" class="external-link">source</a></span><span class="op">(</span><span class="st">"https://github.com/cozygene/Unico/raw/main/vignettes/vignetts.utils.r"</span><span class="op">)</span></span></code></pre></div>
+</div>
 <div class="section level2">
 <h2 id="deconvolution-on-pseudobulk-rna-expression-data">Deconvolution on pseudobulk RNA expression data<a class="anchor" aria-label="anchor" href="#deconvolution-on-pseudobulk-rna-expression-data"></a>
 </h2>
diff --git a/pkgdown.yml b/pkgdown.yml
index a8afab4..822ab9f 100644
--- a/pkgdown.yml
+++ b/pkgdown.yml
@@ -3,5 +3,5 @@ pkgdown: 2.0.7
 pkgdown_sha: ~
 articles:
   Unico-Tutorial: Unico-Tutorial.html
-last_built: 2024-01-11T05:47Z
+last_built: 2024-01-11T06:42Z
 
diff --git a/reference/Unico.html b/reference/Unico.html
index dff41fc..7738ee0 100644
--- a/reference/Unico.html
+++ b/reference/Unico.html
@@ -232,17 +232,17 @@ <h2>Details</h2>
     <div id="ref-examples">
     <h2>Examples</h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="va">data</span> <span class="op">=</span> <span class="fu"><a href="simulate_data.html">simulate_data</a></span><span class="op">(</span>n <span class="op">=</span> <span class="fl">100</span>, m <span class="op">=</span> <span class="fl">2</span>, k <span class="op">=</span> <span class="fl">3</span>, p1 <span class="op">=</span> <span class="fl">1</span>, p2 <span class="op">=</span> <span class="fl">1</span>, taus_std <span class="op">=</span> <span class="fl">0</span>, log_file <span class="op">=</span> <span class="cn">NULL</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 05:47:23] Start simulation ...</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 05:47:23] Finished simulation</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 06:43:02] Start simulation ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 06:43:02] Finished simulation</span>
 <span class="r-in"><span><span class="va">res</span> <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="va">res</span><span class="op">$</span><span class="va">params.hat</span> <span class="op">=</span> <span class="fu">Unico</span><span class="op">(</span><span class="va">data</span><span class="op">$</span><span class="va">X</span>, <span class="va">data</span><span class="op">$</span><span class="va">W</span>, <span class="va">data</span><span class="op">$</span><span class="va">C1</span>, <span class="va">data</span><span class="op">$</span><span class="va">C2</span>, parallel<span class="op">=</span><span class="cn">FALSE</span>, log_file<span class="op">=</span><span class="cn">NULL</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 05:47:23] Starting Unico ...</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 05:47:23] Validate Unico inputs</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 05:47:23] Starting parameter learning ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 06:43:02] Starting Unico ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 06:43:02] Validate Unico inputs</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 06:43:02] Starting parameter learning ...</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 
  |                                                  | 0 % ~calculating  
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 05:47:23] Formating results ...</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 05:47:23] Capping extreme values in estimated parameters</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 05:47:23] Finished parameter learning</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 06:43:02] Formating results ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 06:43:02] Capping extreme values in estimated parameters</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 06:43:02] Finished parameter learning</span>
 <span class="r-in"><span></span></span>
 </code></pre></div>
     </div>
diff --git a/reference/association_asymptotic.html b/reference/association_asymptotic.html
index 3f98451..a891734 100644
--- a/reference/association_asymptotic.html
+++ b/reference/association_asymptotic.html
@@ -183,24 +183,24 @@ <h2>Details</h2>
     <div id="ref-examples">
     <h2>Examples</h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="va">data</span> <span class="op">=</span> <span class="fu"><a href="simulate_data.html">simulate_data</a></span><span class="op">(</span>n <span class="op">=</span> <span class="fl">100</span>, m <span class="op">=</span> <span class="fl">2</span>, k <span class="op">=</span> <span class="fl">3</span>, p1 <span class="op">=</span> <span class="fl">1</span>, p2 <span class="op">=</span> <span class="fl">1</span>, taus_std <span class="op">=</span> <span class="fl">0</span>, log_file <span class="op">=</span> <span class="cn">NULL</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 05:47:23] Start simulation ...</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 05:47:23] Finished simulation</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 06:43:03] Start simulation ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 06:43:03] Finished simulation</span>
 <span class="r-in"><span><span class="va">res</span> <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="va">res</span><span class="op">$</span><span class="va">params.hat</span> <span class="op">=</span> <span class="fu"><a href="Unico.html">Unico</a></span><span class="op">(</span><span class="va">data</span><span class="op">$</span><span class="va">X</span>, <span class="va">data</span><span class="op">$</span><span class="va">W</span>, <span class="va">data</span><span class="op">$</span><span class="va">C1</span>, <span class="va">data</span><span class="op">$</span><span class="va">C2</span>, parallel<span class="op">=</span><span class="cn">FALSE</span>, log_file<span class="op">=</span><span class="cn">NULL</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 05:47:23] Starting Unico ...</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 05:47:23] Validate Unico inputs</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 05:47:23] Starting parameter learning ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 06:43:03] Starting Unico ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 06:43:03] Validate Unico inputs</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 06:43:03] Starting parameter learning ...</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 
  |                                                  | 0 % ~calculating  
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 05:47:24] Formating results ...</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 05:47:24] Capping extreme values in estimated parameters</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 05:47:24] Finished parameter learning</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 06:43:03] Formating results ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 06:43:03] Capping extreme values in estimated parameters</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 06:43:03] Finished parameter learning</span>
 <span class="r-in"><span><span class="va">res</span><span class="op">$</span><span class="va">params.hat</span> <span class="op">=</span> <span class="fu">association_asymptotic</span><span class="op">(</span><span class="va">data</span><span class="op">$</span><span class="va">X</span>, <span class="va">res</span><span class="op">$</span><span class="va">params.hat</span>, parallel<span class="op">=</span><span class="cn">FALSE</span>, log_file<span class="op">=</span><span class="cn">NULL</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 05:47:24] Validate asymptotic inputs ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 06:43:03] Validate asymptotic inputs ...</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> [1] 2 1</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 05:47:24] Preparing weights for asymptotic pvals calculation ...</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 05:47:24] Starting asymptotic pvals calculation: asymptotic ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 06:43:03] Preparing weights for asymptotic pvals calculation ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 06:43:03] Starting asymptotic pvals calculation: asymptotic ...</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 
  |                                                  | 0 % ~calculating  
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 05:47:24] Finished asymptotic pvals calculation: asymptotic</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 06:43:03] Finished asymptotic pvals calculation: asymptotic</span>
 <span class="r-in"><span></span></span>
 </code></pre></div>
     </div>
diff --git a/reference/association_parametric.html b/reference/association_parametric.html
index c4fa678..1c6786e 100644
--- a/reference/association_parametric.html
+++ b/reference/association_parametric.html
@@ -182,23 +182,23 @@ <h2>Details</h2>
     <div id="ref-examples">
     <h2>Examples</h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="va">data</span> <span class="op">=</span> <span class="fu"><a href="simulate_data.html">simulate_data</a></span><span class="op">(</span>n <span class="op">=</span> <span class="fl">100</span>, m <span class="op">=</span> <span class="fl">2</span>, k <span class="op">=</span> <span class="fl">3</span>, p1 <span class="op">=</span> <span class="fl">1</span>, p2 <span class="op">=</span> <span class="fl">1</span>, taus_std <span class="op">=</span> <span class="fl">0</span>, log_file <span class="op">=</span> <span class="cn">NULL</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 05:47:24] Start simulation ...</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 05:47:24] Finished simulation</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 06:43:03] Start simulation ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 06:43:03] Finished simulation</span>
 <span class="r-in"><span><span class="va">res</span> <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="va">res</span><span class="op">$</span><span class="va">params.hat</span> <span class="op">=</span> <span class="fu"><a href="Unico.html">Unico</a></span><span class="op">(</span><span class="va">data</span><span class="op">$</span><span class="va">X</span>, <span class="va">data</span><span class="op">$</span><span class="va">W</span>, <span class="va">data</span><span class="op">$</span><span class="va">C1</span>, <span class="va">data</span><span class="op">$</span><span class="va">C2</span>, parallel<span class="op">=</span><span class="cn">FALSE</span>, log_file<span class="op">=</span><span class="cn">NULL</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 05:47:24] Starting Unico ...</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 05:47:24] Validate Unico inputs</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 05:47:24] Starting parameter learning ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 06:43:03] Starting Unico ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 06:43:03] Validate Unico inputs</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 06:43:03] Starting parameter learning ...</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 
  |                                                  | 0 % ~calculating  
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 05:47:24] Formating results ...</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 05:47:24] Capping extreme values in estimated parameters</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 05:47:24] Finished parameter learning</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 06:43:04] Formating results ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 06:43:04] Capping extreme values in estimated parameters</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 06:43:04] Finished parameter learning</span>
 <span class="r-in"><span><span class="va">res</span><span class="op">$</span><span class="va">params.hat</span> <span class="op">=</span> <span class="fu">association_parametric</span><span class="op">(</span><span class="va">data</span><span class="op">$</span><span class="va">X</span>, <span class="va">res</span><span class="op">$</span><span class="va">params.hat</span>, parallel<span class="op">=</span><span class="cn">FALSE</span>, log_file<span class="op">=</span><span class="cn">NULL</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 05:47:24] Validate parametric inputs ...</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 05:47:24] Preparing weights for parametric pvals calculation ...</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 05:47:24] Starting parametric pvals calculation: parametric ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 06:43:04] Validate parametric inputs ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 06:43:04] Preparing weights for parametric pvals calculation ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 06:43:04] Starting parametric pvals calculation: parametric ...</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 
  |                                                  | 0 % ~calculating  
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 05:47:24] Finished parametric pvals calculation: parametric</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 06:43:04] Finished parametric pvals calculation: parametric</span>
 <span class="r-in"><span></span></span>
 </code></pre></div>
     </div>
diff --git a/reference/simulate_data.html b/reference/simulate_data.html
index f1b61d3..0585bb2 100644
--- a/reference/simulate_data.html
+++ b/reference/simulate_data.html
@@ -193,8 +193,8 @@ <h2>Details</h2>
     <div id="ref-examples">
     <h2>Examples</h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="va">sim.data</span> <span class="op">=</span> <span class="fu">simulate_data</span><span class="op">(</span>n <span class="op">=</span> <span class="fl">100</span>, m <span class="op">=</span> <span class="fl">5</span>, k <span class="op">=</span> <span class="fl">5</span>, p1 <span class="op">=</span> <span class="fl">1</span>, p2 <span class="op">=</span> <span class="fl">2</span>, log_file <span class="op">=</span> <span class="cn">NULL</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 05:47:24] Start simulation ...</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 05:47:24] Finished simulation</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 06:43:04] Start simulation ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 06:43:04] Finished simulation</span>
 <span class="r-in"><span></span></span>
 </code></pre></div>
     </div>
diff --git a/reference/tensor.html b/reference/tensor.html
index dab3dd9..f044756 100644
--- a/reference/tensor.html
+++ b/reference/tensor.html
@@ -133,23 +133,23 @@ <h2>Details</h2>
     <div id="ref-examples">
     <h2>Examples</h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="va">data</span> <span class="op">=</span> <span class="fu"><a href="simulate_data.html">simulate_data</a></span><span class="op">(</span>n <span class="op">=</span> <span class="fl">100</span>, m <span class="op">=</span> <span class="fl">2</span>, k <span class="op">=</span> <span class="fl">3</span>, p1 <span class="op">=</span> <span class="fl">1</span>, p2 <span class="op">=</span> <span class="fl">1</span>, taus_std <span class="op">=</span> <span class="fl">0</span>, log_file <span class="op">=</span> <span class="cn">NULL</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 05:47:25] Start simulation ...</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 05:47:25] Finished simulation</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 06:43:04] Start simulation ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 06:43:04] Finished simulation</span>
 <span class="r-in"><span><span class="va">res</span> <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="va">res</span><span class="op">$</span><span class="va">params.hat</span> <span class="op">=</span> <span class="fu"><a href="Unico.html">Unico</a></span><span class="op">(</span><span class="va">data</span><span class="op">$</span><span class="va">X</span>, <span class="va">data</span><span class="op">$</span><span class="va">W</span>, <span class="va">data</span><span class="op">$</span><span class="va">C1</span>, <span class="va">data</span><span class="op">$</span><span class="va">C2</span>, parallel<span class="op">=</span><span class="cn">FALSE</span>, log_file<span class="op">=</span><span class="cn">NULL</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 05:47:25] Starting Unico ...</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 05:47:25] Validate Unico inputs</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 05:47:25] Starting parameter learning ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 06:43:04] Starting Unico ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 06:43:04] Validate Unico inputs</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 06:43:04] Starting parameter learning ...</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 
  |                                                  | 0 % ~calculating  
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 05:47:25] Formating results ...</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 05:47:25] Capping extreme values in estimated parameters</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 05:47:25] Finished parameter learning</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 06:43:04] Formating results ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 06:43:04] Capping extreme values in estimated parameters</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 06:43:04] Finished parameter learning</span>
 <span class="r-in"><span><span class="va">res</span><span class="op">$</span><span class="va">Z</span> <span class="op">=</span> <span class="fu">tensor</span><span class="op">(</span><span class="va">data</span><span class="op">$</span><span class="va">X</span>, <span class="va">data</span><span class="op">$</span><span class="va">W</span>, <span class="va">data</span><span class="op">$</span><span class="va">C1</span>, <span class="va">data</span><span class="op">$</span><span class="va">C2</span>, <span class="va">res</span><span class="op">$</span><span class="va">params.hat</span>, parallel<span class="op">=</span><span class="cn">FALSE</span>, log_file<span class="op">=</span><span class="cn">NULL</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 05:47:25] Validate tensor inputs ...</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 05:47:25] Starting tensor ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 06:43:04] Validate tensor inputs ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 06:43:04] Starting tensor ...</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 
  |                                                  | 0 % ~calculating  
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 05:47:25] Formating tensor result ...</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 05:47:25] Finished tensor estimation</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 06:43:04] Formating tensor result ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> INFO [2024-01-11 06:43:04] Finished tensor estimation</span>
 <span class="r-in"><span></span></span>
 </code></pre></div>
     </div>