
Package index
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new_arg_set()add_arg_ele()nele()narg()print(<arg_set>)make_arg_grid()print(<arg_grid>) - Create and modify argument sets, then make an argument grid for batch simulation
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as.mcmc.list(<list>) - Convert a list of simulation output to a mcmc.list object
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attach_all_matrices() - Attach all matrices in a batch simulation
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autolayer(<barrier>) - Get a ggplot2 layer from a barrier object
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batch_simulation()print(<batch_simulation>) - Perform a batch simulation.
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calculate_barrier() - Functions for calculating energy barrier from landscapes
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check_conv()print(<check_conv>) - Graphical diagnoses to check if the simulation converges
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get_dist() - Get the probability distribution from a landscape object
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as_hash_big_matrix()attach_hash_big_matrix() - Class "hash_big_matrix": big matrix with a md5 hash reference
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make_2d_matrix() - Make a matrix of 2D static landscape plots for one or two parameters
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make_2d_static()make_2d_single() - Make 2D static landscape plot for a single simulation output
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make_3d_animation() - Make 3d animations from multiple simulations
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make_3d_matrix() - Make a matrix of 3D static landscape plots for one or two parameters
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make_3d_static()make_3d_single() - Make 3D static landscape plots from simulation output
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make_4d_static()make_4d_single() - Make 4D static space-color plots from simulation output
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make_barrier_grid_2d() - Make a grid for calculating barriers for 2d landscapes
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make_barrier_grid_3d() - Make a grid for calculating barriers for 3d landscapes
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multi_init_simulation() - Simulate multiple 1-3D Markovian Stochastic Differential Equations
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plot(<landscape>) - Make plots from landscape objects
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save_landscape() - Save landscape plots
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sim_SDE() - Simulate 1-3D Markovian Stochastic Differential Equations
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sim_fun_grad() - A simple gradient simulation function for testing
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sim_fun_nongrad() - A simple non-gradient simulation function for testing
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sim_fun_test() - A simple simulation function for testing
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summary(<barrier>) - Summarize the barrier height from a
barrierobject