Package: PerRegMod 4.4.2
PerRegMod: Fitting Periodic Coefficients Linear Regression Models
Provides tools for fitting periodic coefficients regression models to data where periodicity plays a crucial role. It allows users to model and analyze relationships between variables that exhibit cyclical or seasonal patterns, offering functions for estimating parameters and testing the periodicity of coefficients in linear regression models. For simple periodic coefficient regression model see Regui et al. (2024) <doi:10.1080/03610918.2024.2314662>.
Authors:
PerRegMod_4.4.2.tar.gz
PerRegMod_4.4.2.tar.gz(r-4.5-noble)PerRegMod_4.4.2.tar.gz(r-4.4-noble)
PerRegMod_4.4.2.tgz(r-4.4-emscripten)PerRegMod_4.4.2.tgz(r-4.3-emscripten)
PerRegMod.pdf |PerRegMod.html✨
PerRegMod/json (API)
# Install 'PerRegMod' in R: |
install.packages('PerRegMod', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 6 hours agofrom:71f6b7d01f. Checks:OK: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 26 2024 |
R-4.5-linux | OK | Nov 26 2024 |
Exports:A_x_Bcheck_periodicityDELTAestimate_para_adaptive_methodGAMMAlm_perlm_per_AELSE_Reg_perphi_npseudo_gaussian_testsd_estimation_for_each_s
Dependencies:cellrangerclicpp11crayonexpmfansigluehmslatticelifecyclemagrittrMASSMatrixMatrixModelsmnormtnumDerivpillarpkgconfigprettyunitsprogressquantregR6readxlrematchrlangsnSparseMsurvivaltibbleutf8vctrs
Readme and manuals
Help Manual
Help page | Topics |
---|---|
A Kronecker product B | A_x_B |
Checking the periodicity of parameters in the regression model | check_periodicity |
Calculating the component of vector DELTA | DELTA |
Adaptive estimator for periodic coefficients regression model | estimate_para_adaptive_method |
Calculating the component of matrix GAMMA | GAMMA |
Fitting periodic coefficients regression model by using LSE | lm_per |
Fitting periodic coefficients regression model by using Adaptive estimation method | lm_per_AE |
Least squares estimator for periodic coefficients regression model | LSE_Reg_per |
Calculating the value of phi function | phi_n |
Detecting periodicity of parameters in the regression model | pseudo_gaussian_test |
Estimating periodic variances in a periodic coefficients regression model | sd_estimation_for_each_s |