Casino: Casino

GITHUB

cboettig/schemar: Create Structured Data Using the Schema.org Vocabulary

R: Casino
CasinoR Documentation
Casino

casino: Dishonest casino.

CRAN

aphid: Analysis with Profile Hidden Markov Models

R: Dishonest casino.
casinoR Documentation
Dishonest casino.

smash: Smash a nested list into a tidy table.

GITHUB

SimonLarsen/smashr: Smash nested lists into tidy data tables.

R: Smash a nested list into a tidy table.
smashR Documentation
Smash a nested list into a tidy table.

casino: Dishonest casino.

GITHUB

shaunpwilkinson/aphid: Analysis with Profile Hidden Markov Models

R: Dishonest casino.
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML

casino: Dishonest casino.

GITHUB

shaunpwilkinson/profile: Analysis with Profile Hidden Markov Models

R: Dishonest casino.
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML

casino: Play Casino Games

CRAN

casino: Play Casino Games

Package: casino
Type: Package
Title: Play Casino Games

anthonypileggi/casino: Play Casino Games

GITHUB

anthonypileggi/casino: Play Casino Games

Package: casino
Type: Package
Title: Play Casino Games

online: online

GITHUB

cboettig/build.eml: Build Ecological Metadata Language Files

R: online
onlineR Documentation
online

online: Online-Fragebogen

GITHUB

strategic-games/sg.data: Empirical And Simulated Data From Strategic Dyadic Games

R: Online-Fragebogen
onlineR Documentation
Online-Fragebogen

online: Technical indicators, online version

GITHUB

imlijunda/tswbench: Tushare Workbench

R: Technical indicators, online version
onlineR Documentation
Technical indicators, online version

online: Probabilistic Forecast Combination - Online

CRAN

profoc: Probabilistic Forecast Combination Using CRPS Learning

R: Probabilistic Forecast Combination - Online
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt

smash: Estimate the underlying mean or intensity function from

GITHUB

zrxing/smash: Smoothing by Adaptive Shrinkage in R

smash.gaus or smash.poiss as
appropriate. For details see smash.gaus and
smash.poiss.

smash: Estimate the underlying mean or intensity function from

GITHUB

stephenslab/smashr: Smoothing by Adaptive Shrinkage in R

smash.gaus or smash.poiss as
appropriate. For details see smash.gaus and
smash.poiss.

SMASH: Subclone Multiplicity Allocation and Somatic Heterogeneity

CRAN

SMASH: Subclone Multiplicity Allocation and Somatic Heterogeneity

Package: SMASH
Type: Package
Title: Subclone Multiplicity Allocation and Somatic Heterogeneity

online: online structure learning for class 'ODT' and 'ODRF'.

CRAN

ODRF: Oblique Decision Random Forest for Classification and Regression

R: online structure learning for class 'ODT' and 'ODRF'.
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt

viraltux/casino: Analytics for Card Games

GITHUB

viraltux/casino: Analytics for Card Games

Package: casino
Type: Package
Title: Analytics for Card Games

THargreaves/online-oceanarium: Online Oceanarium

GITHUB

THargreaves/online-oceanarium: Online Oceanarium

Package: onlineoceanarium
Type: Package
Title: Online Oceanarium

floatofmath/casino: Utility functions for monte carlo simulation and optimization

GITHUB

floatofmath/casino: Utility functions for monte carlo simulation and optimization

Package: casino
Title: Utility functions for monte carlo simulation and optimization
Version: 0.0.0.9000

zrxing/smash: Smoothing by Adaptive Shrinkage in R

GITHUB

zrxing/smash: Smoothing by Adaptive Shrinkage in R

Package: smashr
Encoding: UTF-8
Type: Package

Sun-lab/SMASH: Subclone Multiplicity Allocation and Somatic Heterogeneity

GITHUB

Sun-lab/SMASH: Subclone Multiplicity Allocation and Somatic Heterogeneity

Package: SMASH
Type: Package
Title: Subclone Multiplicity Allocation and Somatic Heterogeneity