Scoring in R

Vector Generalized Linear and Additive Models: With an Implementation in R (Repost)

Vector Generalized Linear and Additive Models: With an Implementation in R By Thomas W. Yee
2015 | 604 Pages | ISBN: 1493928171 | PDF | 10 MB

Stability of Line Solitons for the KP-II Equation in R  eBooks & eLearning

Posted by nebulae at Oct. 10, 2017
Stability of Line Solitons for the KP-II Equation in R

Tetsu Mizumachi, "Stability of Line Solitons for the KP-II Equation in R"
English | ISBN: 1470414244 | 2015 | 95 pages | PDF | 1 MB

TTC Video - Learning Statistics: Concepts and Applications in R  eBooks & eLearning

Posted by IrGens at Oct. 9, 2017
TTC Video - Learning Statistics: Concepts and Applications in R

TTC Video - Learning Statistics: Concepts and Applications in R
Course No. 1480 | .MP4, AVC, 1100 kbps, 856x480 | English, AAC, 192 kbps, 2 Ch | 24x30 mins | + PDF Guidebook | 8.5 GB
Lecturer: Talithia Williams, Ph.D.

Probability in R. Discrete Random Variables  eBooks & eLearning

Posted by naag at Oct. 8, 2017
Probability in R. Discrete Random Variables

Probability in R. Discrete Random Variables
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours | Lec: 13 | 314 MB
Genre: eLearning | Language: English

Infermath links mathematical theory with programming application to give high level understanding of quantitative fields
Functional Programming in R: Advanced Statistical Programming for Data Science, Analysis and Finance

Functional Programming in R: Advanced Statistical Programming for Data Science, Analysis and Finance by Thomas Mailund
English | 29 Mar. 2017 | ISBN: 148422745X | 124 Pages | EPUB (True) | 359.73 KB

Master functions and discover how to write functional programs in R. In this concise book, you'll make your functions pure by avoiding side-effects; you’ll write functions that manipulate other functions, and you’ll construct complex functions using simpler functions as building blocks.

Statistik mit R: Eine praxisorientierte Einführung in R (Animals)  eBooks & eLearning

Posted by AlenMiler at Sept. 22, 2017
Statistik mit R: Eine praxisorientierte Einführung in R (Animals)

Statistik mit R: Eine praxisorientierte Einführung in R (Animals) by Joachim Zuckarelli
German | 18 Sept. 2017 | ISBN: 3960090447 | ASIN: B075R98NN6 | 366 Pages | AZW3 | 3.96 MB
Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the Data Scientist

Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the Data Scientist by Thomas Mailund
English | 13 Mar. 2017 | ISBN: 1484226704 | 384 Pages | EPUB (True) | 2.78 MB
Parametrische Statistik: Verteilungen, maximum likelihood und GLM in R (Statistik und ihre Anwendungen)

Parametrische Statistik: Verteilungen, maximum likelihood und GLM in R (Statistik und ihre Anwendungen) by Carsten F. Dormann
German | 6 Sept. 2017 | ISBN: 3662546833 | 388 Pages | PDF | 5.27 MB

In dem einführenden Werk für Anwender werden alle klassischen Statistik-Methoden aus der beschreibenden Statistik, aus Verteilungen und Maximum-Likelihood-Methode abgeleitet. Beispiele machen komplexe Zusammenhänge verständlich und erleichtern die Umsetzung.

Parametrische Statistik: Verteilungen, Maximum Likelihood und GLM in R (repost)  eBooks & eLearning

Posted by hill0 at Sept. 13, 2017
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Parametrische Statistik: Verteilungen, Maximum Likelihood und GLM in R (Statistik und Ihre Anwendungen) (German Edition) by Carsten Dormann
German | 8 Feb. 2013 | ISBN: 3642347851 | 372 Pages | PDF | 4.38 MB

Beispielreich baut das Buch Schritt für Schritt die statistischen Grundlagen moderner Datenanalysen für Anwender auf. Dabei wird besonderer Wert auf einen roten Faden gelegt, der alle Methoden zusammenführt.
Advanced Object-Oriented Programming in R: Statistical Programming for Data Science, Analysis and Finance

Advanced Object-Oriented Programming in R: Statistical Programming for Data Science, Analysis and Finance by Thomas Mailund
English | 24 Jun. 2017 | ISBN: 1484229185 | 128 Pages | EPUB | 519.72 KB

Learn how to write object-oriented programs in R and how to construct classes and class hierarchies in the three object-oriented systems available in R.