#corbin alvae

[limitedtouredition]

2013.05.18

[soldier-requests]

uhhhh hi

i was curious about a name suggestion request for a masc mad scientist kinnie. very frankenstein adjacent but in the 70s. i was weird and lonely, a mortician turned mad scientist when i decided to start experimenting with reanimation. basically a lovesick gay doctor frankenstein.

i loved tea and sweets and taxidermy, i was chronically ill so i spent most of my time at home with my “work”.

i dont have anything specific in mind, just wanna see what vibe you get :)

hello!! that all sounds sick as hell /pos, i'll whip up some ideas ^_^.

names under the cut!

Abe

Abraham

Aether

Aion

Alador

Aldrich

Alessandro

Alva

Alvarez

Amador

Amos

Apollo

Arche

Arcot

Argus

Arizona

Ark

Arke

Austine

Balt

Baltimore

Baron

Bass

Beakman

Beau

Birch

Birche

Bishop

Blaise

Bo

Boe

Boone

Brandie

Brandy

Breaker

Bridges

Brontes

Bronze

Brutus

Butch

Butche

Butcher

Caesar

Cain

Caine

Callaghan

Callahan

Cardinal

Casidy

Cassidey

Castor

Cedar

Celine

Chapman

Chet

Claus

Clive

Clutch

Clyve

Cochrane

Conrad

Corbin

Cornel

Cornelius

Cort

Corvus

Court

Coy

Dael

Dartford

Dax

Denver

Dewes

Doctor

Don

Donatello

Donnie

Duke

Dusty

Dweller

Egret

Ezekiel

Finch

Ford

Francisque

Geb

Geordi

Gill

Gin

Grant

Hammon

Hans

Hart

Hartford

Hartley

Hartnett

Heath

Heathe

Hebe

Helio

Helios

Hermann

Hermit

Hershey

Huck

Hugo

Ivo

Jayne

Jeremias

Jericho

Jethro

Jos

Josef

Joseph

Joss

Jost

Judge

Junco

King

Kinglet

Klaus

Krispin

Laurent

Lelantos

Lucky

Lutz

Lux

Lyre

Magnus

Mandrake

Marti

Martin

Marvin

Matteo

Matthaeus

Mattheus

Mauritz

Mayfair

McCoy

Melcher

Montgomery

Monty

Morrow

Neo

Newt

Newton

Nico

Nicoletta

Nightjar

Noel

Noon

Noonan

Noone

Norman

Noël

Nuthatch

Nutter

Oak

Octavio

Octavius

Olivier

Oriole

Osprey

Othello

Otos

Otus

Pacifius

Paley

Pallas

Paulus

Peabody

Pipin

Pirmin

Reece

Reed

Reid

Rome

Rye

Sales

Salomon

Silvan

Silvester

Sixtus

Skimmer

Skinner

Slade

Solomon

Spoonbill

Stan

Stanford

Stanley

Styx

Sylvester

Talos

Teddy

Thaddeus

Thatcher

Theodor

Theodore

Thies

Thoman

Thomen

Thrasher

Torb

Torbin

Trumpeter

Uli

Urech

Urich

Val

Valen

Valentine

Valentino

Valerio

Vaughn

Vec

Vector

Vern

Vex

Vigil

Virgil

Warbler

Ward

Warde

Wester

Whet

Wilhelm

Wren

Zacharias

Zefram

Zephir

[transnames]

Some two-syllable neutral names

(One-syllable names)

You can also combine initials, e.g. AJ, although this does not work for all initials and it can be gendered masculine.

A: Aaren, Abbott, Adair, Addi, Adren, Aerie, Afon, Aiden, Aiken, Ainsley, Alder, Alex, Ali, Alix, Alpha, Altair, Alto, Alton, Alva, Amal, Amore, Andy, Angel, Angie, Anise, Arbor, Ari, Ariel, Arlen, Arley, Arrow, Arya, Asa, Asher, Ashlen, Ashley, Ashton, Aspen, Aster, Aston, Aubrey, Auburn, Auden, August, Aura, Austin, Avery, Avis, Aviv, Avon, Aya, Ayan, Aza, Aze, Azure

B: Bailey, Baldwin, Banner, Barrett, Basil, Bauer, Baylor, Benson, Bentley, Berkley, Berry, Beryl, Billie, Birdie, Blakely, Bobbie, Booker, Bradley, Brady, Brayden, Brennan, Brewer, Briar, Brighton, Brinsley, Bronte, Brooklyn, Bryant

C: Cadence, Caelum, Calder, Camden, Cameron, Camille, Campbell, Canyon, Carey, Carlyle, Carmen, Carol, Carter, Cartwright, Carson, Casey, Cedar, Chandler, Chandra, Channing, Charlie, Charlton, Chatham, Cheyenne, Citron, Clancy, Claudie, Clover, Cobalt, Coby, Cohen, Coleson, Collins, Colver, Comet, Condor, Connell, Connie, Cooper, Coral, Corbin, Corin, Corey, Corley, Cortney, Cricket, Cyan, Cypress, Cyrille

D: Dallas, Dana, Dani, Darby, Darcy, Darrell, Darren, Denver, Devon, Diamond, Diaz, Dillon, Douglas, Dustin, Dusty, Dylan

E: Eagle, Early, Easton, Ebon, Echo, Eddie, Eden, Efe, Eiffel, Eissa, Elli, Ellis, Ellwood, Ember, Emer, Emerald, Emlyn, Emmett, Emry, Emryn, Enfys, Ennis, Eren, Errel, Essence, Esme, Evan, Ever, Everett, Eyrie, Ezra

F: Fable, Falco, Falcon, Fallon, Farah, Fargo, Farley, Farrell, Faulkner, Feldspar, Fennel, Fifer, Finley, Finney, Fiore, Fischer, Fletcher, Floren, Florence, Forest, Francis, Frankie, Freedom, Friday, Fulton

G: Gabi, Galen, Galway, Gannet, Garden, Gardner, Garey, Garland, Garnet, Gavi, Germaine, Gerry, Glenwood, Golden, Grady, Granite, Guthrie

H: Hadley, Halcyon, Hallow, Halo, Happy, Harbor, Harley, Harlow, Harper, Hartley, Haven, Hawking, Hayden, Henley, Heron, Hollis, Honor, Hopper, Hudson, Hunter

I: Iman, Imory, Indi, Innis, Io, Ira, Isa, Isha, Islet, Iver, Ivor, Ivory, Ivy, Izzy

J: Jacinth, Jackie, Jaden, Jael, Jalen, Jamie, Janis, Jarrah, Jarrell, Jasper, Jensen, Jessie, Joey, Jody, Jonquil, Jordan, Journey, July, Juneau, Junior, Juno, Justice

K: Kali, Kameron, Karey, Karson, Kasey, Kato, Keaton, Keegan, Keelan, Keenan, Kelby, Kellan, Keller, Kelly, Kelsey, Kendall, Kenyon, Kenzie, Kerry, Kestrel, Kevyn, Kieran, Kingsley, Kirby, Klaudie, Koby, Kody, Korbin, Korin, Korey, Krishna, Kyler

L: Laker, Lakyle, Lander, Landry, Laney, Langley, Larkin, Larkspur, Lashawn, Laurel, Laurence, Leighton, Lennox, Leopard, Leslie, Lethe, Lexie, Lexis, Linden, Lindsay, Lindy, Linnet, Logan, London, Loren, Luca, Lucky, Lyric

M: Maddox, Magic, Major, Malloy, Manu, Marley, Marlow, Martell, Marty, Mattie, Maury, Maurice, Maxie, Maxwell, Meadow, Mercer, Merlyn, Merritt, Merry, Micah, Mika, Miller, Misha, Monday, Morgan, Murphy, Murray, Myers

N: Narcisse, Nasim, Navdeep, Navy, Neal, Neptune, Neo, Nicky, Nico, Nika, Nike, Nimbus, Noam, Noel, Nori, Norris, Nouvel, Nova

O: Oakley, Oberon, Ocean, Odell, Ollie, Olive, Onyx, Opal, Ori, Oriole, Orion, Orrin, Osborne, Owen, Ozzie

P: Paisley, Paris, Parker, Pasco, Patience, Patrice, Paxton, Penrose, Pepper, Peregrine, Perrin, Perry, Peyton, Phelan, Phoenix, Piper, Placid, Porter, Prairie, Presley, Prosper

Q: Qaisar, Quarry, Quasar, Quetzal, Quila, Quincy, Quentin, Quillan

R: Raleigh, Rainbow, Rainer, Randy, Raven, Redmond, Regal, Regan, Reggie, Reynold, Rhythm, Ricki, Ridley, Riley, Rio, Rishi, River, Robbie, Robin, Ronnie, Rory, Roscoe, Rowan, Royal, Rudy, Ryder, Ryen, Rylen

S: Sabah, Sadler, Saffron, Salem, Samar, Sandy, Satchel, Saturn, Sasha, Sawyer, Saylor, Season, Selby, Seren, Seven, Sevy, Shale, Shannon, Shelby, Shelly, Shiloh, Sidney, Silver, Sinclair, Skylar, Skylark, Skyler, Snowdrop, Snowy, Soren, Sorrel, Sparrow, Spencer, Spirit, Springer, Stanley, Starling, Sterling, Summer, Sunday, Sunny, Sunshine, Sunset, Sutton

T: Taffy, Tali, Talon, Tanner, Tarian, Taylor, Teagan, Teddy, Tempest, Temple, Terry, Thursday, Tibby, Tiernan, Tiger, Timber, Tobin, Toby, Topaz, Torrey, Tracy, Trenton, Tristen, Tucker, Turner, Tuesday, Tully, Tyler, Tyson

U: Ulfie, Ulli, Ulri, Ulysse, Umber, Umbra, Upton, Urban, Uri, Ursa, Usher, Uta

V: Valen, Vega, Verdi, Vernon, Verrill, Vesper, Vivi, Vivien, Volta, Voltaire

W: Walker, Wallace, Waylan, Webster, Wednesday, Weston, Whimsy, Whitley, Whitney, Wilder, Willow, Wilson, Windsor, Windy, Winslow, Winter, Wisdom, Wolfram, Woody, Wylie

X: Xander, Xavie

Y: Yael, Yaven, Yannick, Yarrow, Yven

Z: Zailey, Zaki, Zander, Zandy, Zavi, Zelig, Zeno, Zephyr, Zero, Zevi, Zion,  Zohar, Zola, Zorey, Zuri

[hayleywpictures]

November 21st 2013 - Detroit,MI (The Self-Titled Tour)

Credit: Corbin Alvae

[craigbrownphd]

R Packages worth a look

Data Frame Class for Tracking Data (trackdf) Data frame class for storing collective movement data (e.g. fish schools, ungulate herds, baboon troops) collected from GPS trackers or computer vision tracking software. Fill Missing Values in Vectors (fillr) Edit vectors to fill missing values, based on the vector itself. Weighted Metrics and Performance Measures for Machine Learning (MetricsWeighted) Provides weighted versions of several metrics and performance measures used in machine learning, including average unit deviances of the Bernoulli, Tweedie, Poisson, and Gamma distributions, see e.g. Ohlsson E. and Johansson B. (2015, ISBN: 978-3642107900). The package also contains a weighted version of generalized R-squared, see e.g. Cohen, Jacob. et al. (2002, ISBN: 978-0805822236). Furthermore, ‘dplyr’ chains are supported. Multivariate Hypothesis Tests (MVTests) Multivariate hypothesis tests and the confidence intervals. This package can be used for hypothesis tests which are The Hotelling T Square Tests (One-Sample, Two Independent Samples, Paired Samples), The One Way MANOVA,The Multivariate Shapiro-Wilk Test for Multivariate Normality Test, The Bartlett Test for One Sample Covariance Matrix, The Box-M Test and The Bartlett’s Sphericity Test. For this package, we have benefited the studies Rencher (2003), Nel and Merwe (1986) , Tatlidil (1996), James (1994) , Tsagris (2014), Villasenor Alva and Estrada (2009) . Quadratic Inference Function (qif) Developed to perform the estimation and inference for regression coefficient parameters in longitudinal marginal models using the method of quadratic inference functions. Like generalized estimating equations, this method is also a quasi-likelihood inference method. It has been showed that the method gives consistent estimators of the regression coefficients even if the correlation structure is misspecified, and it is more efficient than GEE when the correlation structure is misspecified. Based on Qu, A., Lindsay, B.G. and Li, B. (2000) . Robust Estimation of the ACF from the M-Periodogram (acfMPeriod) Non-robust and robust computations of the sample autocovariance (ACOVF) and sample autocorrelation functions (ACF) of univariate and multivariate processes. The methodology consists in reversing the diagonalization procedure involving the periodogram or the cross-periodogram and the Fourier transform vectors, and, thus, obtaining the ACOVF or the ACF as discussed in Fuller (1995) . The robust version is obtained by fitting robust M-regressors to obtain the M-periodogram or M-cross-periodogram as discussed in Reisen et al. (2017) . Generate High-Dimensional Binary Data with Correlation Structures (CorBin) We design algorithms with linear time complexity with respect to the dimension for three commonly studied correlation structures, including exchangeable, decaying-product and K-dependent correlation structures, and extend the algorithms to generate binary data of general non-negative correlation matrices with quadratic time complexity. Jiang, W., Song, S., Hou, L. and Zhao, H. ‘CorBin: An efficient R package to generate high-dimensional binary data with correlation structures.’ Submitted to Journal of Statistical Software. http://bit.ly/33CKDTR

[findourselvesinsiberia]

Corbin Alvae

[born-t0-lose]

Northlane

Credit To: Corbin Alvae

[limitedtouredition]

2013.09.14 +++ / +++

[limitedtouredition]

2013.09.14 +++ / +++

[limitedtouredition]

2013.05.18 +++ / +++

[limitedtouredition]

2013.09.14 +++ / +++

[limitedtouredition]

2013.05.18

[limitedtouredition]

2013.05.18 +++ / +++

[littlelightsy]

Photo by Corbin Alvae

[littlelightsy]

Photo by Corbin Alvae