الدوري الممتاز الهندي 2020

Part of the deal of having a package up on CRAN is: at any time one may be sent an automated email like the following. Dear maintainer, Please see the problems shown on URL. Please correct before TODAY+14DAYS to safely retain your package on CRAN. The CRAN Team If ... Continue reading: Working in CRAN’s World http://dlvr.it/SKr2BK

Post Views: 1 There are many benefits to using RStudio Desktop from the YakData SmartDesktop repository. Speed, portability, a complete reproducible R environment, built on the Rocker project and all under your control with Docker! 🕶️ Watch it now 🔥 Resources Ready to try it? Get it on GitHub at https://github.com/... Continue reading: Portable, Reproducible R Content — YakData SmartDesktop with RStudio Desktop http://dlvr.it/SKqLfr

I am always struggled to model the changes in gasoline prices as a categorical variable, especially in a small amount of time-series data. The answer to improving the performance of modeling such a dataset can be to combine more than one model. This method of combining and aggregating the predictions ... Continue reading: Meta-Learning: Boosting and Bagging for Time Series Forecasting http://dlvr.it/SKpslg

This post is a demonstration of the cxhull and gyro packages. I will use these packages (and others) to draw an hyperbolic version of the stereographic projection of a convex 4D polytope, the gircope or ... Continue reading: Hyperbolic gircope – using ‘cxhull’ and ‘gyro’ http://dlvr.it/SKpKyS

Table of Contents Introduction Setup One group Two groups: single set of weights Two groups: separate spline bases and per-group weights Two groups: single spline basis and per-group weights Two groups: per-group weights with hierarchical prior One group: multivariate-normal prior on weights Two group: multivariate normal prior on weights Session ... Continue reading: Experimenting with multi-level and hierarchical splines in PyMC http://dlvr.it/SKlpr0

This post explains a Markov regime switching state space model. The bottom line is two-fold: 1) expanding states by each regime transitions and 2) collapsing each updated estimates for the next state prediction. The step 2) is necessary to fix t... Continue reading: Regime Switching State Space Model with R code http://dlvr.it/SKlRq0

Geocomputation with R is a book on geographic data analysis, visualization, and modeling. Each chapter1 ends with a set of exercises allowing the readers to test how well they understand each presented concepts and approaches. However, exercises are often not enough without their solutions, which provides a way to compare ... Continue reading: Automatic website with the Geocomputation with R solutions http://dlvr.it/SKkJ7k