| Title: | Construction of Selection Index |
| Version: | 0.1.2 |
| Description: | Selection index is one of the efficient and acurrate method for selection of animals. This package is useful for construction of selection indices. It uses mixed and random model least squares analysis to estimate the heritability of traits and genetic correlation between traits. The package uses the sire model as it is considered as random effect. The genetic and phenotypic (co)variances along with the relative economic values are used to construct the selection index for any number of traits. It also estimates the accuracy of the index and the genetic gain expected for different traits. Fisher (1936) <doi:10.1111/j.1469-1809.1936.tb02137.x>. |
| License: | MIT + file LICENSE |
| Encoding: | UTF-8 |
| RoxygenNote: | 7.3.2 |
| Imports: | dplyr, psych, stats, utils |
| Suggests: | testthat (≥ 3.0.0) |
| Config/testthat/edition: | 3 |
| Depends: | R (≥ 3.5) |
| LazyData: | true |
| URL: | https://github.com/venkatesanraja/seliNDRIx |
| BugReports: | https://github.com/venkatesanraja/seliNDRIx/issues |
| NeedsCompilation: | no |
| Packaged: | 2025-05-08 05:54:42 UTC; hp |
| Author: | Raja TV [aut, cre], Alex Rani [aut], Gowane Gopal [aut], Vohra Vikas [aut] |
| Maintainer: | Raja TV <venkatesanraja09@gmail.com> |
| Repository: | CRAN |
| Date/Publication: | 2025-05-09 14:30:02 UTC |
Data set for construction of selection index
Description
This dataset contains information used for constructing a selection index.
Usage
data(data, package="selINDRIx")Format
A data frame with 689 rows and 7 columns:
- animal
The animal id
- sire
Sire of the cows
- farm
Farm from which the data were collected
- soc
The season of calving of a cow
- poc
The period of calving of a cow
- tmy
Total lactation milk yield in Kg
- py
The peak yield in Kg
- fatyield
The average fat yield
Title Construction of selection index
Description
Title Construction of selection index
Usage
mixed_si(data, traits, fixed, random, economic_values)
Arguments
data |
A data frame containing the fixed effects, random effects and traits |
traits |
A character vector specifying trait names for which index has to be calculated |
fixed |
The fixed effects |
random |
The random effects |
economic_values |
The relative economic values |
Value
Results of selection index
Examples
# Example dataset
data("data", package = "seliNDRIx", envir = environment())
traits <- c("tmy", "py", "fatyield")
fixed <- c("farm", "soc", "poc")
random <- c("sire")
economic_values <- c(1, 0.85, 0.65)
results <- mixed_si(data = data, traits = traits,
fixed = fixed, random = random, economic_values = economic_values)
Title Construction of selection index
Description
Title Construction of selection index
Usage
random_si(data, traits, random, economic_values)
Arguments
data |
A data frame containing the fixed, random and traits |
traits |
The traits for which index values are to be estimated |
random |
The random effects |
economic_values |
The relative economic values |
Value
Results of selection index
Examples
# Example dataset
data("data", package = "seliNDRIx", envir = environment())
traits <- c("tmy", "py", "fatyield")
random <- c("sire")
economic_values <- c(1, 0.85, 0.65)
results <- random_si(data = data, traits = traits,
random = random, economic_values = economic_values)