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| std::string | npl::dirname (std::string path) |
| | Returns the directory name for the given file. More...
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| bool | npl::isTxt (std::string filename) |
| | Reads a file and returns true if its entirely made up of printable ascii. More...
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| bool | npl::fileExists (std::string filename) |
| | Returns true if a file exists and is possible to open. More...
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| std::string | npl::chomp (std::string str) |
| | Removes whitespace at the beginning and end of a string. More...
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| std::vector< std::string > | npl::parseLine (std::string line, std::string delim) |
| | Given a delimiter splits the line based on the delmiter and removes extra white space as necessary. More...
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| std::vector< std::vector< std::string > > | npl::readStrCSV (std::string filename, char &delim, char comment= '#') |
| | This function parses an input and returns a list of rows. More...
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| std::vector< std::vector< double > > | npl::readNumericCSV (std::string filename, char comment= '#') |
| | This function parses an input and returns a list of rows. More...
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| double | npl::gammaPDF (double x, double k, double theta) |
| | Gamma distribution, used by Cannonical HRF from SPM. More...
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| double | npl::cannonHrf (double t, double rdelay, double udelay, double rdisp, double udisp, double puRatio, double onset, double total) |
| | Cannonical hemodynamic response funciton from SPM. delay of response (relative to onset) = 6 delay of undershoot (relative to onset) = 16 dispersion of response = 1 dispersion of undershoot = 1 ratio of response to undershoot = 6 onset (seconds) = 0 length of kernel (seconds) = 32. More...
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| double | npl::cannonHrf (double t) |
| | The cannoical HRF with all default parameters. More...
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| std::vector< double > | npl::getRegressor (std::vector< std::vector< double >> &spec, double tr, size_t ntimes, double t0) |
| | Takes a 1 or 3 column format of regressor and produces a timeseries sampeled every tr, starting at time t0, and running for ntimes. More...
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| void | npl::boldsim (size_t len, double *iobuff, double dt, double learn) |
| | In place simulation of BOL timeseries using the balloon model. Habituation is accomplished by subtracting exponential moving average of u, thus if u tends to be on a lot, the effective u will be lower, if it turns on for the first time in a long time, the spike will be greater. Learn is the weight of the current point, the previous moving average value is weighted (1-learn) More...
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| void | npl::convolve (std::vector< double > &signal, double(*foo)(double), double tr, double length) |
| | Convolves a signal and a function using loops (not fast) No wrapping is done. More...
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| double | npl::fwhm_to_sd (double fwhm) |
| | Computes the standard deviation from FWHM (because I can never remember the ratio) More...
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| double | npl::sd_to_fwhm (double sd) |
| | Computes the FWHM from from standard deviation (because I can never remember the ratio) More...
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1.8.9.1