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+---
+title: "Tanka Theme Demo"
+author: "Nan Xiao"
+date: "2020-11-21T12:00:00"
+meta_img: images/example.jpg
+---
+
+[Tanka](https://github.com/nanxstats/hugo-tanka) is a Bootstrap-based minimalist theme for Hugo.
+
+<div class="figure">
+
+![](/images/example.jpg)
+
+<p class="caption">Vik, Iceland. Photo by <a href="https://unsplash.com/photos/MLKrf51NV8w">Adam Jang</a>.</p>
+
+</div>
+
+## Typography
+
+Follows the Bootstrap typography.
+
+# h1 Heading
+
+## h2 Heading
+
+### h3 Heading
+
+#### h4 Heading
+
+##### h5 Heading
+
+###### h6 Heading
+
+---
+
+**This is bold text**
+
+__This is bold text__
+
+*This is italic text*
+
+_This is italic text_
+
+~~Deleted text~~
+
+> Block quotes are
+> written like so.
+>
+> They can span multiple paragraphs,
+> if you like.
+
+Some text, and some `code` and then a nice plain [link with title](https://nanx.me "title text!").
+
+and then
+
++ Create a list by starting a line with `+`, `-`, or `*`
++ Sub-lists are made by indenting 2 spaces:
+  - Marker character change forces new list start:
+    * Ac tristique libero volutpat at
++ Very easy!
+
+vs.
+
+1. Lorem ipsum dolor sit amet
+2. Consectetur adipiscing elit
+3. Integer molestie lorem at massa
+
+## Math
+
+Inline formula `$S_n = \sum_{i=1}^n X_i$` example.
+
+$$S(n, k) = \frac{1}{k!}\sum_{i=0}^{k} (-1)^{i} \binom{k}{i} (k-i)^n.$$
+
+## Code
+
+Inline `code` example
+
+### R
+
+```r
+library("msaenet")
+
+dat = msaenet.sim.gaussian(
+  n = 150, p = 500, rho = 0.5,
+  coef = rep(1, 10), snr = 5, p.train = 0.7,
+  seed = 1001
+)
+
+msaenet.fit = msaenet(
+  dat$x.tr, dat$y.tr,
+  alphas = seq(0.1, 0.9, 0.1),
+  nsteps = 10L, tune.nsteps = "ebic",
+  seed = 1005
+)
+
+msaenet.fit$best.step
+msaenet.nzv(msaenet.fit)
+plot(msaenet.fit, label = TRUE)
+plot(msaenet.fit, type = "criterion")
+plot(msaenet.fit, type = "dotplot", label = TRUE, label.cex = 1)
+```
+
+### Python
+
+```python
+@requires_authorization(roles=["ADMIN"])
+def somefunc(param1='', param2=0):
+    r'''A docstring'''
+    if param1 > param2: # interesting
+        print 'Gre\'ater'
+    return (param2 - param1 + 1 + 0b10l) or None
+
+class SomeClass:
+    pass
+
+>>> message = '''interpreter
+... prompt'''
+```
+
+### Stan
+
+```stan
+// Multivariate Regression Example
+// Taken from stan-reference-2.8.0.pdf p.66
+
+data {
+  int<lower=0> N;             // num individuals
+  int<lower=1> K;             // num ind predictors
+  int<lower=1> J;             // num groups
+  int<lower=1> L;             // num group predictors
+  int<lower=1,upper=J> jj[N]; // group for individual
+  matrix[N,K] x;              // individual predictors
+  row_vector[L] u[J];         // group predictors
+  vector[N] y;                // outcomes
+}
+parameters {
+  corr_matrix[K] Omega;       // prior correlation
+  vector<lower=0>[K] tau;     // prior scale
+  matrix[L,K] gamma;          // group coeffs
+  vector[K] beta[J];          // indiv coeffs by group
+  real<lower=0> sigma;        // prediction error scale
+}
+model {
+  tau ~ cauchy(0,2.5);
+  Omega ~ lkj_corr(2);
+  to_vector(gamma) ~ normal(0, 5);
+  {
+    row_vector[K] u_gamma[J];
+    for (j in 1:J)
+      u_gamma[j] <- u[j] * gamma;
+    beta ~ multi_normal(u_gamma, quad_form_diag(Omega, tau));
+  }
+  {
+    vector[N] x_beta_jj;
+    for (n in 1:N)
+      x_beta_jj[n] <- x[n] * beta[jj[n]];
+    y ~ normal(x_beta_jj, sigma);
+  }
+}
+
+# Note: Octothorpes indicate comments, too!
+```