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class | acos_vari |
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class | acosh_vari |
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class | add_vd_vari |
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class | add_vv_vari |
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class | asin_vari |
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class | asinh_vari |
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class | atan2_dv_vari |
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class | atan2_vd_vari |
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class | atan2_vv_vari |
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class | atan_vari |
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class | atanh_vari |
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class | bessel_first_kind_dv_vari |
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class | bessel_second_kind_dv_vari |
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class | beta_dv_vari |
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class | beta_vd_vari |
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class | beta_vv_vari |
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class | binary_log_loss_0_vari |
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class | binary_log_loss_1_vari |
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struct | bounded |
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struct | bounded< T_y, T_low, T_high, true > |
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class | broadcast_array |
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class | cbrt_vari |
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class | ceil_vari |
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struct | compute_dims |
| Compute the dimensionality of the given template argument. More...
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struct | compute_dims< double > |
| Compute the dimensionality of the given template argument. More...
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struct | compute_dims< Eigen::Matrix< T, R, C > > |
| compute the dimensionality of the given template argument. More...
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struct | compute_dims< std::vector< T > > |
| Compute the dimensionality of the given template argument. More...
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class | cos_vari |
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class | cosh_vari |
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class | decrement_vari |
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class | determinant_vari |
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class | digamma_vari |
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class | divide_dv_vari |
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class | divide_vd_vari |
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class | divide_vv_vari |
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struct | dot_product_store_type |
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struct | dot_product_store_type< double > |
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struct | dot_product_store_type< var > |
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class | dot_product_vari |
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class | dot_self_vari |
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class | empty_broadcast_array |
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class | empty_broadcast_array< ViewElt, Eigen::Matrix< OpElt, R, C > > |
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class | erf_vari |
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class | erfc_vari |
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class | exp2_vari |
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class | exp_vari |
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class | expm1_vari |
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class | falling_factorial_vd_vari |
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class | fdim_dv_vari |
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class | fdim_vd_vari |
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class | fdim_vv_vari |
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struct | finite |
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struct | finite< Eigen::Matrix< T, R, C >, true > |
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struct | finite< T_y, true > |
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class | floor_vari |
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class | fma_ddv_vari |
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class | fma_vdd_vari |
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class | fma_vdv_vari |
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class | fma_vvd_vari |
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class | fma_vvv_vari |
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class | fmod_dv_vari |
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class | fmod_vd_vari |
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class | fmod_vv_vari |
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class | gamma_p_dv_vari |
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class | gamma_p_vd_vari |
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class | gamma_p_vv_vari |
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class | gamma_q_dv_vari |
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class | gamma_q_vd_vari |
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class | gamma_q_vv_vari |
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struct | greater |
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struct | greater< T_y, T_low, true > |
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struct | greater_or_equal |
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struct | greater_or_equal< T_y, T_low, true > |
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class | hypot_vd_vari |
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class | hypot_vv_vari |
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class | ibeta_ddv_vari |
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class | ibeta_dvd_vari |
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class | ibeta_dvv_vari |
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class | ibeta_vdd_vari |
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class | ibeta_vdv_vari |
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class | ibeta_vvd_vari |
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class | ibeta_vvv_vari |
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class | inc_beta_vvv_vari |
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class | increment_vari |
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class | index_comparator |
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class | inv_cloglog_vari |
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class | inv_logit_vari |
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class | inv_Phi_vari |
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class | inv_sqrt_vari |
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class | inv_square_vari |
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class | inv_vari |
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class | lbeta_dv_vari |
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class | lbeta_vd_vari |
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class | lbeta_vv_vari |
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struct | less |
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struct | less< T_y, T_high, true > |
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struct | less_or_equal |
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struct | less_or_equal< T_y, T_high, true > |
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class | lgamma_vari |
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class | lmgamma_dv_vari |
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class | log10_vari |
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class | log1m_exp_v_vari |
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class | log1m_vari |
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class | log1p_exp_v_vari |
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class | log1p_vari |
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class | log2_vari |
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class | log_det_ldlt_vari |
| Returns the log det of the matrix whose LDLT factorization is given See The Matrix Cookbook's chapter on Derivatives of a Determinant In this case, it is just the inverse of the underlying matrix. More...
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class | log_diff_exp_dv_vari |
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class | log_diff_exp_vd_vari |
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class | log_diff_exp_vv_vari |
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class | log_falling_factorial_dv_vari |
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class | log_falling_factorial_vd_vari |
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class | log_falling_factorial_vv_vari |
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class | log_inv_logit_diff_dv_vari |
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class | log_inv_logit_diff_vd_vari |
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class | log_inv_logit_diff_vv_vari |
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class | log_rising_factorial_dv_vari |
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class | log_rising_factorial_vd_vari |
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class | log_rising_factorial_vv_vari |
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class | log_softmax_elt_vari |
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class | log_sum_exp_dv_vari |
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class | log_sum_exp_matrix_vari |
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class | log_sum_exp_vd_vari |
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class | log_sum_exp_vector_vari |
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class | log_sum_exp_vv_vari |
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class | log_vari |
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class | map_rect_combine |
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class | map_rect_reduce |
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class | map_rect_reduce< F, double, double > |
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struct | map_rect_reduce< F, double, var > |
|
struct | map_rect_reduce< F, var, double > |
|
struct | map_rect_reduce< F, var, var > |
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class | mdivide_left_dv_vari |
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class | mdivide_left_ldlt_alloc |
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class | mdivide_left_ldlt_dv_vari |
| The vari for mdivide_left_ldlt(A, b) which handles the chain() call for all elements of the result. More...
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class | mdivide_left_ldlt_vd_vari |
| The vari for mdivide_left_ldlt(A, b) which handles the chain() call for all elements of the result. More...
|
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class | mdivide_left_ldlt_vv_vari |
| The vari for mdivide_left_ldlt(A, b) which handles the chain() call for all elements of the result. More...
|
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class | mdivide_left_spd_alloc |
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class | mdivide_left_spd_dv_vari |
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class | mdivide_left_spd_vd_vari |
|
class | mdivide_left_spd_vv_vari |
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class | mdivide_left_tri_dv_vari |
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class | mdivide_left_tri_vd_vari |
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class | mdivide_left_tri_vv_vari |
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class | mdivide_left_vd_vari |
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class | mdivide_left_vv_vari |
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class | modified_bessel_first_kind_dv_vari |
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class | modified_bessel_second_kind_dv_vari |
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class | multiply_log_dv_vari |
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class | multiply_log_vd_vari |
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class | multiply_log_vv_vari |
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class | multiply_vd_vari |
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class | multiply_vv_vari |
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class | neg_vari |
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struct | nonnegative |
|
struct | nonnegative< T_y, true > |
|
struct | not_nan |
|
struct | not_nan< T_y, true > |
|
class | ops_partials_edge |
| An edge holds both the operands and its associated partial derivatives. More...
|
|
class | ops_partials_edge< double, Eigen::Matrix< var, R, C > > |
|
class | ops_partials_edge< double, std::vector< Eigen::Matrix< var, R, C > > > |
|
class | ops_partials_edge< double, std::vector< std::vector< var > > > |
|
class | ops_partials_edge< double, std::vector< var > > |
|
class | ops_partials_edge< double, var > |
|
class | ops_partials_edge< Dx, Eigen::Matrix< fvar< Dx >, R, C > > |
|
class | ops_partials_edge< Dx, fvar< Dx > > |
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class | ops_partials_edge< Dx, std::vector< Eigen::Matrix< fvar< Dx >, R, C > > > |
|
class | ops_partials_edge< Dx, std::vector< fvar< Dx > > > |
|
class | ops_partials_edge< Dx, std::vector< std::vector< fvar< Dx > > > > |
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class | ops_partials_edge< ViewElt, Eigen::Matrix< Op, R, C > > |
|
class | ops_partials_edge< ViewElt, std::vector< Eigen::Matrix< Op, R, C > > > |
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class | ops_partials_edge< ViewElt, std::vector< std::vector< Op > > > |
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class | ordered_constrain_op |
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class | owens_t_dv_vari |
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class | owens_t_vd_vari |
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class | owens_t_vv_vari |
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class | Phi_vari |
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class | positive_ordered_constrain_op |
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class | pow_dv_vari |
|
class | pow_vd_vari |
|
class | pow_vv_vari |
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class | quad_form_vari |
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class | quad_form_vari_alloc |
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class | rising_factorial_vd_vari |
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class | round_vari |
|
class | simplex_constrain_op |
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class | sin_vari |
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class | sinh_vari |
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class | softmax_op |
|
class | sqrt_vari |
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class | square_vari |
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class | squared_distance_vd_vari |
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class | squared_distance_vv_vari |
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class | subtract_dv_vari |
|
class | subtract_vd_vari |
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class | subtract_vv_vari |
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class | tan_vari |
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class | tanh_vari |
|
class | tgamma_vari |
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class | trace_gen_quad_form_vari |
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class | trace_gen_quad_form_vari_alloc |
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class | trace_inv_quad_form_ldlt_impl |
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class | trace_inv_quad_form_ldlt_vari |
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class | trace_quad_form_vari |
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class | trace_quad_form_vari_alloc |
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class | trunc_vari |
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class | unit_vector_elt_vari |
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char * | eight_byte_aligned_malloc (size_t size) |
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double | notNan (double x) |
|
size_t | fft_next_good_size (size_t N) |
| Find the optimal next size for the FFT so that a minimum number of zeros are padded. More...
|
|
template<typename T , int R, int C> |
void | resize (Eigen::Matrix< T, R, C > &x, const std::vector< int > &dims, int pos) |
|
template<typename T > |
void | resize (T, const std::vector< int > &, int) |
|
template<typename T > |
void | resize (std::vector< T > &x, const std::vector< int > &dims, int pos) |
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int | get_num_threads (int num_jobs) |
| Get number of threads to use for num_jobs jobs. More...
|
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template<int call_id, typename F , typename T_shared_param , typename T_job_param > |
Eigen::Matrix< typename stan::return_type< T_shared_param, T_job_param >::type, Eigen::Dynamic, 1 > | map_rect_concurrent (const Eigen::Matrix< T_shared_param, Eigen::Dynamic, 1 > &shared_params, const std::vector< Eigen::Matrix< T_job_param, Eigen::Dynamic, 1 >> &job_params, const std::vector< std::vector< double >> &x_r, const std::vector< std::vector< int >> &x_i, std::ostream *msgs=nullptr) |
|
template<class RNG > |
Eigen::VectorXd | multi_normal_semidefinite_rng (const Eigen::VectorXd &mu, const Eigen::LDLT< Eigen::MatrixXd > &S_ldlt, RNG &rng) |
| Return a multivariate normal random variate with the given location and covariance using the specified random number generator. More...
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|
template<class RNG > |
Eigen::VectorXd | multi_normal_definite_rng (const Eigen::VectorXd &mu, const Eigen::LLT< Eigen::MatrixXd > &S_llt, RNG &rng) |
| Return a multivariate normal random variate with the given location and covariance using the specified random number generator. More...
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double | log_sum_exp_as_double (const std::vector< var > &x) |
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void | set_lower_tri_coeff_ref (Eigen::Matrix< var, -1, -1 > &L, vari **vari_ref) |
| Set the lower right triangular of a var matrix given a set of vari**. More...
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|
template<int R, int C> |
double | log_sum_exp_as_double (const Eigen::Matrix< var, R, C > &x) |
|
var | calc_sd (size_t size, const var *dtrs) |
|
var | calc_variance (size_t size, const var *dtrs) |
|
template<class F , class Tuple , std::size_t... I> |
constexpr auto | apply_impl (const F &f, const Tuple &t, std::index_sequence< I... > i) |
| Invoke the functor f with arguments given in t and indexed in the index sequence I. More...
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|
template<class F , class Tuple > |
constexpr auto | apply (const F &f, const Tuple &t) |
| Call the functor f with the tuple of arguments t, like: More...
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|
template<size_t size> |
void | build_y_adj (vari **y_vi, const std::array< int, size > &M, double &y_adj) |
| Store the adjoint in y_vi[0] in y_adj. More...
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|
template<size_t size> |
void | build_y_adj (vari **y_vi, const std::array< int, size > &M, std::vector< double > &y_adj) |
| Store the adjoints from y_vi in y_adj. More...
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|
template<size_t size, int R, int C> |
void | build_y_adj (vari **y_vi, const std::array< int, size > &M, Eigen::Matrix< double, R, C > &y_adj) |
| Store the adjoints from y_vi in y_adj. More...
|
|
double | ibeta_hypergeometric_helper (double a, double b, double z, double precision=1e-8, double max_steps=1000) |
| Calculates the generalized hypergeometric 3F2(a, a, b; a + 1, a + 1; z). More...
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|