Showing posts with label Rcode. Show all posts
Showing posts with label Rcode. Show all posts

R: A Simple Replication of Cointegration Test Results

This post is a straightforward replication of the Johansen cointegration test results from Johansen and Juselius (1990) using R urca package.

Equivalence of VAR models between original variables and their linear transformations

This post demonstrates the VAR forecasting equivalence between original variables and their linear transformations by examining a simple example.

R: collect the i-th or last rows of each data frame in a list of data frames

This post demonstrates selecting either the last row or the i-th row from each data frame in a list of data frames in R.

R: parallel execution using foreach and %dopar%

This post provides a quick introduction to parallel execution in R using foreach and %dopar%.

R: Creating Sequential Filenames or Folders: AA, AA_01, AA_02, ...

This post demonstrates how to generate sequential filenames or folders, like 'AA', 'AA_01', 'AA_02', and beyond.

R: Saving Lists with Renaming and Loading into a List

This post shows a streamlined list handling by saving lists with renaming and then loading them into a list for ongoing analysis.

R: Speed Up R Code using Rcpp and RcppArmadillo

This post demonstrates how to incorporate C++ code to enhance the running speed of R code, through the integration of Rcpp and RcppArmadillo. The Nelson-Siegel yield curve model serves as an illustrative example.

R: Error in Integration with Vector Function and Its Remedy

This post illustrates how to address an error arising from the integration of one of the results of a vector function in R. A straightforward remedy is to use Vectorize().

R: Symbolic Matrix Multiplications

This post shows how to perform symbolic matrix multiplications using two R libraries.

R: Integration using R integrate() function

This post demonstrates the usage of a numerical integration function in R, integrate(), accompanied by an example featuring a slope factor-related term.

R: Shape-based decomposition of the yield-adjustment term in the AFNS model

This post covers Steeley (2014) shape-based decomposition of the yield-adjustment term in the AFNS model using R.

R: Conversion between Lower Triangular Matrix and Vector

This post shows how to convert a lower triangular matrix into a vector or vice versa using R code.

R: The Hodrick-Prescott filter or HP filter

This post demonstrates how to apply the Hodrick-Prescott (HP) filter in R by using the hpfilter R library.

R: Beveridge–Nelson Trend and Cycle Decomposition

This post shows how to extract trend and cyclical components from a univariate time series based on the Beveridge–Nelson (BN) decomposition using tsm R package.

R : Diebold-Mariano Test

This post shows how to use Diebold-Mariano test by using multDM R package.

R: Using Differential Evolution to the Nelson-Siegel model

This post demonstrates the application of Differential Evolution (DE) to estimate Nelson-Siegel parameters using the NMOF R package.

R: Apply Particle Swarm Optimization to the Nelson-Siegel model

This post shows how to apply the Particle Swarm Optimization (PSO) to estimate the Nelson-Siegel parameters using pso R package.