Package index
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base_index() - Base Index (Williams, 1962)
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clgsi() - Combined Linear Genomic Selection Index (CLGSI)
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cpp_math_primitives - Generic C++ Math Primitives for Experimental Design Statistics
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cppg_lgsi() - Combined Predetermined Proportional Gains Linear Genomic Selection Index (CPPG-LGSI)
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crlgsi() - Combined Restricted Linear Genomic Selection Index (CRLGSI)
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dg_lpsi() - Desired Gains Index (DG-LPSI)
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esim() - Linear Phenotypic Eigen Selection Index (ESIM)
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estimate_missing_values() - Estimate Missing Values in Experimental Data
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gen_advance() - Genetic Advance for PRE
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gen_varcov() - Genotypic Variance-Covariance Analysis
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genetic_genomic_varcov() - Genetic-Genomic Variance-Covariance Matrix (A)
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genomic_varcov() - Genomic Variance-Covariance Matrix (\(\Gamma\))
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gesim() - Linear Genomic Eigen Selection Index Method (GESIM)
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gw_esim() - Genome-Wide Linear Eigen Selection Index Method (GW-ESIM)
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gw_lmsi() - Genome-Wide Linear Marker Selection Index (GW-LMSI)
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haldane_mapping() - Haldane's Mapping Function
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inverse_haldane_mapping() - Inverse Haldane Mapping Function
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lgsi() - Linear Genomic Selection Index (LGSI)
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lmsi() - Linear Marker Selection Index (LMSI)
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lpsi() - Combinatorial Linear Phenotypic Selection Index
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maize_geno - Synthetic Maize Genomic Data
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maize_pheno - Synthetic Maize Phenotypic Data
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mean_performance() - Mean performance of phenotypic data
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mesim() - Molecular Eigen Selection Index Method (MESIM)
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missing-value - Missing Value Imputation for Experimental Designs
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mlgsi() - Multistage Linear Genomic Selection Index (MLGSI)
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mlpsi() - Multistage Linear Phenotypic Selection Index (MLPSI)
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mppg_lgsi() - Multistage Predetermined Proportional Gain Linear Genomic Selection Index (MPPG-LGSI)
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mppg_lpsi() - Multistage Predetermined Proportional Gain Linear Phenotypic Selection Index (MPPG-LPSI)
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mrlgsi() - Multistage Restricted Linear Genomic Selection Index (MRLGSI)
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mrlpsi() - Multistage Restricted Linear Phenotypic Selection Index (MRLPSI)
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phen_varcov() - Phenotypic Variance-Covariance Analysis
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phenomic_genomic_varcov() - Phenomic-Genomic Variance-Covariance Matrix (\(\Phi\))
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plot(<selection_simulation>) - Plot Method for Selection Simulation Results
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ppg_esim() - Predetermined Proportional Gain Eigen Selection Index (PPG-ESIM)
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ppg_gesim() - Predetermined Proportional Gain Genomic Eigen Selection Index (PPG-GESIM)
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ppg_lgsi() - Predetermined Proportional Gains Linear Genomic Selection Index (PPG-LGSI)
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ppg_lpsi() - Predetermined Proportional Gains (PPG-LPSI)
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predict_selection_score() - Predict selection index scores
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print(<base_index>) - Print method for Base Index
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print(<dg_lpsi>) - Print method for Desired Gains Index
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print(<esim>) - Print method for ESIM
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print(<gesim>) - Print method for GESIM
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print(<gw_esim>) - Print method for GW-ESIM
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print(<mesim>) - Print method for MESIM
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print(<ppg_esim>) - Print method for PPG-ESIM
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print(<ppg_gesim>) - Print method for PPG-GESIM
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print(<resim>) - Print method for RESIM
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print(<rgesim>) - Print method for RGESIM
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print(<selection_simulation>) - Print Method for Selection Simulation Results
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print(<smith_hazel>) - Print method for Smith-Hazel Index
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resim() - Restricted Linear Phenotypic Eigen Selection Index (RESIM)
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rgesim() - Restricted Linear Genomic Eigen Selection Index Method (RGESIM)
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rlgsi() - Restricted Linear Genomic Selection Index (RLGSI)
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rlpsi() - Restricted Linear Phenotypic Selection Index (RLPSI)
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seldata - Selection Index DataSet
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simulate_selection_cycles() - Simulate Multi-Cycle Selection Using Different Indices
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smith_hazel() - Smith-Hazel Linear Phenotypic Selection Index
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summary(<base_index>) - Summary method for Base Index
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summary(<dg_lpsi>) - Summary method for Desired Gains Index
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summary(<esim>) - Summary method for ESIM
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summary(<gesim>) - Summary method for GESIM
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summary(<gw_esim>) - Summary method for GW-ESIM
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summary(<mesim>) - Summary method for MESIM
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summary(<ppg_esim>) - Summary method for PPG-ESIM
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summary(<ppg_gesim>) - Summary method for PPG-GESIM
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summary(<resim>) - Summary method for RESIM
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summary(<rgesim>) - Summary method for RGESIM
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summary(<selection_simulation>) - Summary Method for Selection Simulation Results
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summary(<smith_hazel>) - Summary method for Smith-Hazel Index
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weight - Weight dataset
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weight_mat() - Convert dataframe to matrix