Package index
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compsym_asr_input() - Simulate genetic values based on a compound symmetry model for GxE interaction - `AlphaSimR` input parameters
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compsym_asr_output() - Simulate genetic values based on a compound symmetry model for GxE interaction - Simulation with `AlphaSimR`
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error_df_bivar - Plot errors - Example data frame
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field_trial_error() - Simulate plot errors in plant breeding field trials
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group_cor_mat() - Simulate a reduced rank correlation matrix with multiple groups
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gv_df_unstr - Genetic values - Example data frame
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make_phenotypes() - Generate phenotypes - Combine genetic values and plot errors
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measure_variances() - Measure variances from a covariance matrix
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multi_asr_input() - Simulate genetic values based on a multiplicative model for GxE interaction - `AlphaSimR` input parameters
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multi_asr_output() - Simulate genetic values based on a multiplicative model for GxE interaction - Simulation with `AlphaSimR`
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plot_effects() - Graphics for plot effects
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plot_hist() - Histogram of values
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plot_matrix() - Graphics for matrices
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qq_plot() - Q-Q plot
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rand_cor_mat() - Simulate a random correlation matrix
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rand_diag_mat() - Simulate a random diagonal variance matrix
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sample_met() - Sample environments from a target population
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sample_variogram() - Sample variogram
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skew_diag_mat() - Simulate a skewed diagonal variance matrix
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struc_cor_mat() - Simulate a structured correlation matrix with reduced rank
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theoretical_variogram() - Theoretical variogram
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unstr_asr_input() - Simulate genetic values based on an unstructured model for GxE interaction - `AlphaSimR` input parameters
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unstr_asr_output() - Simulate genetic values based on an unstructured model for GxE interaction - Simulation with `AlphaSimR`