Provided by: trinculo_0.96+dfsg-4_amd64 

NAME
trinculo - toolkit to carry out genetic association for multi-category phenotypes
DESCRIPTION
Running a multinomial logistic analysis Usage: trinculo MODE [--bfile GENOTYPES_PREFIX | --dosage GENOTYPES.DOSE ] [--out OUTPUT_PREFIX] --pheno PHENOTYPES.TXT --phenoname PHENOTYPE [--basepheno REF --missingpheno MISSING ] [--covar COVARIATES.TXT --normalize] [--condition SNPS.TXT] [--priors PRIORS.TXT | --defaultprior --priorsigma PRIORVAR --priorcor PRIORCOR --covarsigma PRIORVAR | --empiricalprior ] [ --select --phenops --errormat --fullmodel --waldstats ] [ --noassoc ] [--threads n] [ --precision DIGITS ] [ --fitIter NITER --fitAbsTol ABSTOL --fitRelTol RELTOL ] [--help]
OPTIONS
MODE - Either multinom or ordinal for multinomial or ordinal logistic regression --bfile FILE_PREFIX - Genotype input in binary plink format (FILE_PREFIX.bed, FILE_PREFIX.bim and FILE_PREFIX.fam) --dosage FILE - Genotype input in dosage format --out PREFIX - The prefix used for output files [default is "trinculo"] --pheno FILE - Phenotype input (same format as plink)--phenoname STRING -The phenotype in the phenotype file to analyse --basepheno STRING - The reference category to use for the multinomial analysis [defaults to first category encountered] --missingpheno STRING - The symbol to be use to indicate a missing phenotype in the phenotype file --condition FILE - A file containing a list of SNPs (one per line) to conditon on (i.e. include as covariates) --covar FILE - A file containing covariates to condition on (same format as plink) --normalize - Normalizes covariates to have a variance of 1 [off by default] --priors FILE - A prior covariance matrix on effect sizes --defaultpriors - Construct a prior matrix based on default values --priorsigma VALUE - Set the prior variance on effect sizes within a disease[default is 0.04] --priorcor VALUE - Set the prior correlation on effect sizes across diseases [default is 0] --covarsigma VALUE - Prior on the covariate effect size [Default is 1] --empiricalprior - Calculate an empirical prior directly from the data --noassoc -do not do any association testing, just infer the prior --select -Do Bayesian model selection (i.e. calculate marginal likelihoods for each sharing model) --phenops -Do a likelihood ratio test on each phenotype individually --waldstats -Calculate standard errors, Z scores and Wald p-values --errormat -Output the variance-covariance matrix for the log odds ratio --fullmodel -Output all parameter estimates and the full error matrix --threads n Use up to n cores --precision DIGITS Print output to DIGITS significant figures --fitIter NITER Try up to NITER iterations when fitting models --fitAbsTol ABSTOL Terminate model fitting if results change by less than ABSTOL --fitRelTol RELTOL Terminate model fitting if results change by less than (RELTOL x value) --help - Prints this message
AUTHOR
This manpage was written by Pranav Ballaney for the Debian distribution and can be used for any other usage of the program. trinculo 0.96 April 2020 TRINCULO(1)