API for weidewind/evolikelihood
What the package does (short line)

Global functions
a_very_ugly_function_for_creating_mygroups_data Source code
aic Source code
best_output_file Source code
bic Source code
chisq_groups_test Source code
color.gradient Source code
compute_d_vector Source code
compute_model_lnL Source code
compute_params Source code
compute_params_insane Source code
compute_rkvectors Source code
compute_weights Source code
draw_hazard Source code
draw_lambda_derivative Source code
draw_lnlikelihood Source code
draw_p_derivative Source code
dumb_wood_likelihood Source code
em Source code
em_procedure Source code
evolike Man page
evolike-package Man page
filter_unsolved Source code
filter_unsolved_and_single Source code
find_single_root Man page Source code
initialize_by Source code
initialize_by_clustering Source code
initialize_random Source code
lambda_derivative_exp Source code
lambda_derivative_weib Source code
lambda_hist Source code
lnlikelihood_exp Source code
lnlikelihood_weibull Source code
lrt Source code
lrt_all Source code
lrt_procedure Source code
mysapply Source code
no_muts_on_zero_branches Source code
p_denominator_vector Source code
p_derivative Source code
p_derivative_jacfunc Source code
p_hists Source code
p_numerator_vector Source code
p_talpha_vector Source code
parameters Source code
parse_em_output Source code
parse_group_LRT Source code
parse_group_output Source code
show_em_all_results Source code
show_em_results Source code
supplier Source code
test_compute_d_vector Source code
test_group_mode_lambda_derivative_exp Source code
test_group_mode_supplier Source code
test_initialize_by Source code
test_initialize_by_clustering Source code
test_jack Source code
test_single_mode_supplier Source code
tracer Source code
wood_groups_test Source code
weidewind/evolikelihood documentation built on May 28, 2017, 2:01 a.m.