model_P(1)

🎀 model_P — the manual page, bestie edition 🎀

okay so real talk: model_P is a section 1 (user command) manual page, and it is so much shorter than you're expecting, which honestly? iconic. slay. let's get into it. 💖

---

✨ NAME ✨

model_P — compute marginal likelihoods using stabilized harmonic mean estimator 💅

like that's literally the whole job. she does one thing and she does it. periodt.

---

🦋 SYNOPSIS 🦋

model_P < in-file

that's it. that's the whole vibe. you pipe your input in from a file with < and she goes. no cap. 🌸

---

🌈 DESCRIPTION 🌈

Compute marginal likelihoods using stabilized harmonic mean estimator.

fr fr, that's the description. she computes marginal likelihoods, and the method she uses to do it is the stabilized harmonic mean estimator. that's the tea, that's the whole thing, no notes. 🫶

---

👑 ALLOWED OPTIONS 👑

these are the only options allowed, and yes, there are three. three options. she's lowkey minimalist and highkey thriving. ✨

• -h, --help — produce help message. that's it, that's the whole thing, she'll tell you about herself 💖
• --seed arg — random seed. you hand her an arg and she'll use it as the random seed, so your randomness stays your randomness 🔥
• --verbose — Output more log messages on stderr. she gets chatty, but only on stderr, she's not gonna mess with your actual output 💅

side note: -h and --help are the same option wearing two different outfits. --seed wants an arg (it's not optional, bestie, she needs the number). --verbose takes nothing at all, she just yaps. 🎀

---

💖 REPORTING BUGS 💖

found something cursed? 😭 do not suffer in silence, tell the people:

• BAli-Phy online help: http://www.bali-phy.org/docs.php
• Please send bug reports to bali-phy-users@googlegroups.com.

like genuinely, email them. they want to know. it's giving community care. 🧚

---

🌸 AUTHORS 🌸

Benjamin Redelings. 👑

that's the author. the whole author. the one and only. give them their flowers. 💐

---

and that's the page, bestie!! this was model_P(1), dated Feb 2018, and it lives in the section 1 manual — go forth and compute those marginal likelihoods with your stabilized harmonic mean estimator, you absolute main character. ⭐💜 byeee 🦋