Other packages > Find by keyword >

simfam  

Simulate and Model Family Pedigrees with Structured Founders
View on CRAN: Click here


Download and install simfam package within the R console
Install from CRAN:
install.packages("simfam")

Install from Github:
library("remotes")
install_github("cran/simfam")

Install by package version:
library("remotes")
install_version("simfam", "1.1.6")



Attach the package and use:
library("simfam")
Maintained by
Alejandro Ochoa
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-09-02
Latest Update: 2023-01-09
Description:
The focus is on simulating and modeling families with founders drawn from a structured population (for example, with different ancestries or other potentially non-family relatedness), in contrast to traditional pedigree analysis that treats all founders as equally unrelated.Main function simulates a random pedigree for many generations, avoiding close relatives, pairing closest individuals according to a 1D geography and their randomly-drawn sex, and with variable children sizes to result in a target population size per generation.Auxiliary functions calculate kinship matrices, admixture matrices, and draw random genotypes across arbitrary pedigree structures starting from the corresponding founder values.The code is built around the plink FAM table format for pedigrees.Described in Yao and Ochoa (2022) <doi:10.1101/2022.03.25.485885>.
How to cite:
Alejandro Ochoa (2021). simfam: Simulate and Model Family Pedigrees with Structured Founders. R package version 1.1.6, https://cran.r-project.org/web/packages/simfam. Accessed 21 Nov. 2024.
Previous versions and publish date:
1.0.2 (2021-09-02 11:20), 1.0.3 (2021-10-06 01:20)
Other packages that cited simfam R package
View simfam citation profile
Other R packages that simfam depends, imports, suggests or enhances
Complete documentation for simfam
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

deductive  
Data Correction and Imputation Using Deductive Methods
Attempt to repair inconsistencies and missing values in data records by using information from vali ...
Download / Learn more Package Citations See dependency  
SCBiclust  
Identifies Mean, Variance, and Hierarchically Clustered Biclusters
Identifies a bicluster, a submatrix of the data such that the features and observations within the s ...
Download / Learn more Package Citations See dependency  
pkgdepends  
Package Dependency Resolution and Downloads
Find recursive dependencies of 'R' packages from various sources. Solve the dependencies to obtain ...
Download / Learn more Package Citations See dependency  
kgschart  
KGS Rank Graph Parser
Restore underlining numeric data from rating history graph of KGS (an online platform of the game o ...
Download / Learn more Package Citations See dependency  
RcppHNSW  
'Rcpp' Bindings for 'hnswlib', a Library for Approximate Nearest Neighbors
'Hnswlib' is a C++ library for Approximate Nearest Neighbors. This package provides a minimal R int ...
Download / Learn more Package Citations See dependency  
crossrun  
Joint Distribution of Number of Crossings and Longest Run
Joint distribution of number of crossings and the longest run in a series of independent Bernoulli ...
Download / Learn more Package Citations See dependency  

23,229

R Packages

199,929

Dependencies

62,984

Author Associations

23,230

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA