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vg
tools for working with variation graphs
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#include "statistics.hpp"Namespaces | |
| vg | |
Functions | |
| double | vg::median (std::vector< int > &v) |
| void | vg::wellford_update (size_t &count, double &mean, double &M2, double new_val) |
| pair< double, double > | vg::wellford_mean_var (size_t count, double mean, double M2, bool sample_variance) |
| double | vg::Phi (double x) |
| The standard normal cumulative distribution function. More... | |
| double | vg::Phi_inv (double quantile) |
| Inverse CDF of a standard normal distribution. Must have 0 < quantile < 1. More... | |
| double | vg::lognormal_pdf (double x, double mu, double sigma) |
| Probability density function or log-normal distribution. More... | |
| double | vg::slope (const std::vector< double > &x, const std::vector< double > &y) |
| double | vg::fit_zipf (const vector< double > &y) |
| double | vg::fit_fixed_shape_max_exponential (const vector< double > &x, double shape, double tolerance=1e-8) |
| Returns the MLE rate parameter for the distribution of (shape) iid exponential RVs. More... | |
| double | vg::fit_fixed_rate_max_exponential (const vector< double > &x, double rate, double tolerance=1e-8) |
| Returns the MLE estimate for the number of iid exponential RVs the data are maxima of. More... | |
| pair< double, double > | vg::fit_max_exponential (const vector< double > &x, double tolerance=1e-8) |
| Returns the MLE rate and shape parameters of a max exponential. More... | |
| double | vg::max_exponential_log_likelihood (const vector< double > &x, double rate, double shape, double location=0.0) |
| The log likelihood of a max exponential with the given parameters on the given data. More... | |
| pair< double, double > | vg::fit_weibull (const vector< double > &x) |
| Returns an estimate of the rate and shape parameters of a Weibull distribution. More... | |
| tuple< double, double, double > | vg::fit_offset_weibull (const vector< double > &x, double tolerance=1e-8) |
| Returns an estimate of the rate, shape, and location (minimum value) of a 3-parameter Weibull distribution. More... | |
| double | vg::weibull_log_likelihood (const vector< double > &x, double scale, double shape, double location=0.0) |
| Returns the log likelihood of some data generated by a Weibull distribution. More... | |
| double | vg::golden_section_search (const function< double(double)> &f, double x_min, double x_max, double tolerance=1e-8) |
| Returns a local maximum of a function within an interval. More... | |
| double | vg::phred_to_prob (uint8_t phred) |
| Convert 8-bit Phred quality score to probability of wrongness, using a lookup table. More... | |
| double | vg::phred_for_at_least_one (size_t p, size_t n) |
| double | vg::prob_for_at_least_one (size_t p, size_t n) |
| vector< vector< double > > | vg::transpose (const vector< vector< double >> &A) |
| A shitty set of linear algebra functions. More... | |
| vector< vector< double > > | vg::matrix_multiply (const vector< vector< double >> &A, const vector< vector< double >> &B) |
| vector< double > | vg::matrix_multiply (const vector< vector< double >> &A, const vector< double > &b) |
| vector< vector< double > > | vg::matrix_invert (const vector< vector< double >> &A) |
| vector< double > | vg::regress (const vector< vector< double >> &X, vector< double > &y) |
| Returns the coefficients of a regression (does not automatically compute constant) More... | |
Contains implementations of statistical functions
1.8.17